diff --git a/matverse/elec.py b/matverse/elec.py
index 99fc201..124b01a 100644
--- a/matverse/elec.py
+++ b/matverse/elec.py
@@ -744,6 +744,13 @@ def xps(md: AnnData, doses, level: str = "dft", n_points: int = 301,
           "with the cube of the factor — this belongs on a shortlist, not on "
           "a library, and lowering interpolation_factor is the first thing to "
           "try when it is too slow.\n\n"
+          "keep_mesh stores each sheet's vertices and faces in "
+          "uns['fermi_surface'][level]['meshes'], which is what "
+          "mv.pl.fermi_surface draws. A few hundred kilobytes buys not having "
+          "to repeat the interpolation, and the alternative — a plotting "
+          "function that recomputes for minutes every time it is called — is "
+          "not an interface worth having. Pass keep_mesh=False for a screen "
+          "that only wants the numbers.\n\n"
           "obs['fermi_sheets_{level}'] counts disconnected pieces, which is "
           "what distinguishes a simple metal from one with pockets. Zero "
           "sheets means no band crosses the level, which is the definition of "
@@ -751,7 +758,7 @@ def xps(md: AnnData, doses, level: str = "dft", n_points: int = 301,
 )
 def fermi_surface(md: AnnData, bandstructures, level: str = "dft",
                   mu: float = 0.0, interpolation_factor: float = 5.0,
-                  wigner_seitz: bool = True) -> None:
+                  wigner_seitz: bool = True, keep_mesh: bool = True) -> None:
     """Fermi surface area and sheet count. Deposits; returns ``None``."""
     try:
         from ifermi.interpolate import FourierInterpolator
@@ -772,6 +779,7 @@ def fermi_surface(md: AnnData, bandstructures, level: str = "dft",
     areas = np.full(md.n_obs, np.nan)
     sheets = np.full(md.n_obs, np.nan)
     present = np.zeros(md.n_obs, dtype=bool)
+    meshes: dict = {}
     failures = []
 
     for i, bs in enumerate(bandstructures):
@@ -794,11 +802,25 @@ def fermi_surface(md: AnnData, bandstructures, level: str = "dft",
             failures.append(f"{md.obs_names[i]}: {type(exc).__name__}: {exc}")
             continue
 
-        pieces = sum(len(v) for v in surface.isosurfaces.values()) \
-            if hasattr(surface, "isosurfaces") else 0
+        collected = []
+        for spin, isosurfaces in getattr(surface, "isosurfaces", {}).items():
+            for sheet in isosurfaces:
+                # Vertices and faces are the surface. Keeping them costs a few
+                # hundred kilobytes and means mv.pl.fermi_surface can draw it
+                # without repeating an interpolation that takes minutes.
+                collected.append({
+                    "spin": str(spin),
+                    "band": int(getattr(sheet, "band_idx", -1)),
+                    "area": float(sheet.area),
+                    "vertices": np.asarray(sheet.vertices, dtype=float),
+                    "faces": np.asarray(sheet.faces, dtype=int),
+                })
+        pieces = len(collected)
         areas[i] = float(surface.area)
         sheets[i] = int(pieces)
         present[i] = pieces > 0
+        if keep_mesh:
+            meshes[str(md.obs_names[i])] = collected
 
     md.obs[f"fermi_surface_area_{level}"] = areas
     md.obs[f"fermi_sheets_{level}"] = sheets
@@ -808,6 +830,7 @@ def fermi_surface(md: AnnData, bandstructures, level: str = "dft",
         "interpolation_factor": float(interpolation_factor),
         "wigner_seitz": bool(wigner_seitz),
         "area_unit": "angstrom^-2",
+        "meshes": meshes,
         "n_failed": len(failures),
         "errors": failures[:10],
         "note": "area is the total over all sheets, clipped to the first "
diff --git a/matverse/pl.py b/matverse/pl.py
index ba5f1b5..518851e 100644
--- a/matverse/pl.py
+++ b/matverse/pl.py
@@ -1259,3 +1259,233 @@ def _crystal_system(number: int) -> str:
         if number <= limit:
             return name
     return "cubic"
+
+
+#: Voigt index pairs, in the order the 6x6 matrix uses.
+_VOIGT_PAIRS = ((0, 0), (1, 1), (2, 2), (1, 2), (0, 2), (0, 1))
+
+
+def _compliance_tensor(stiffness: np.ndarray) -> np.ndarray:
+    """The rank-four compliance S_ijkl from a 6x6 stiffness matrix.
+
+    The Voigt factors are the part worth stating: a compliance matrix carries
+    a half on every shear index and a quarter on a shear-shear pair, where a
+    stiffness matrix carries none. Inverting C and expanding without them
+    gives a tensor that looks right and is wrong by a factor of four on the
+    off-diagonal blocks — which shows up as an anisotropy that is not there.
+    """
+    compact = np.linalg.inv(np.asarray(stiffness, dtype=float).reshape(6, 6))
+    full = np.zeros((3, 3, 3, 3))
+    for a, (i, j) in enumerate(_VOIGT_PAIRS):
+        for b, (k, l) in enumerate(_VOIGT_PAIRS):
+            value = compact[a, b]
+            if a >= 3:
+                value *= 0.5
+            if b >= 3:
+                value *= 0.5
+            for p, q in {(i, j), (j, i)}:
+                for r, s in {(k, l), (l, k)}:
+                    full[p, q, r, s] = value
+    return full
+
+
+def _youngs_along(compliance: np.ndarray, directions: np.ndarray) -> np.ndarray:
+    """Young's modulus along each unit direction: 1 / (n n S n n)."""
+    unit = directions / np.linalg.norm(directions, axis=-1, keepdims=True)
+    denominator = np.einsum("ijkl,...i,...j,...k,...l->...", compliance,
+                            unit, unit, unit, unit)
+    with np.errstate(divide="ignore", invalid="ignore"):
+        return np.where(np.abs(denominator) > 1e-12, 1.0 / denominator, np.nan)
+
+
+@register_function(
+    aliases=["elastic anisotropy", "directional youngs modulus", "young's "
+             "modulus surface", "how anisotropic is it", "plot elastic tensor",
+             "stiffness by direction"],
+    category="pl",
+    description="Young's modulus as a function of direction, in the three "
+                "principal planes — what the full elastic tensor says that "
+                "its isotropic averages do not.",
+    requires={"obsm": ["elastic_tensor_{level}"]},
+    prerequisites=["mv.prop.elastic"],
+    examples=["mv.pl.elastic(md, level='emt')",
+              "mv.pl.elastic(md, level='emt', row='Cu')"],
+    related=["mv.prop.elastic", "mv.pl.spectra", "mv.screen.rank"],
+    notes="mv.prop.elastic computes the whole 6x6 tensor and then reports "
+          "four Voigt-Reuss-Hill averages — bulk, shear and Young's moduli "
+          "and a Poisson ratio. Those are what a screen ranks on, and they "
+          "are all isotropic: they are exactly the part of the tensor that "
+          "survives averaging the anisotropy away. Computing the tensor and "
+          "reading only the averages throws away the reason for computing "
+          "it.\\n\\n"
+          "Copper is the standard illustration and the suite checks against "
+          "it: measured constants give a Young's modulus of 67 GPa along "
+          "[100] and 191 along [111], a factor of 2.9, where the isotropic "
+          "average is a single number near 120. A screen that ranks on the "
+          "average is ranking materials whose stiffness varies threefold "
+          "with direction as though it did not.\\n\\n"
+          "The three curves are sections through the xy, xz and yz planes of "
+          "the **crystal axes**, not of any conventional setting, so compare "
+          "them between materials only when the cells were oriented the same "
+          "way. ax._matverse_anisotropy carries max/min over the sampled "
+          "sphere, which is one for an isotropic solid by construction.",
+)
+def elastic(md: AnnData, level: str = "emt", row=0, n_points: int = 361,
+            ax=None):
+    """Directional Young's modulus in three planes. Returns the axis."""
+    key = f"elastic_tensor_{level}"
+    if key not in md.obsm:
+        raise ValueError(
+            f"obsm[{key!r}] absent; run mv.prop.elastic(md, level={level!r}) "
+            f"first")
+
+    # obs['name'] first, the way mv.pl.structure resolves a row: a matverse
+    # dataset carries the formula there and leaves obs_names as integers, so
+    # looking only at obs_names sends "Cu" to int() and fails with a message
+    # about base 10. The tutorial found this; the unit tests had named their
+    # rows directly and never saw it.
+    labels = [str(x) for x in md.obs.get("name", md.obs_names)]
+    index_names = [str(x) for x in md.obs_names]
+    key_row = str(row)
+    if key_row in labels:
+        index = labels.index(key_row)
+    elif key_row in index_names:
+        index = index_names.index(key_row)
+    else:
+        try:
+            index = int(row)
+        except (TypeError, ValueError):
+            raise ValueError(
+                f"no row {row!r}; this object has names {labels[:8]} and an "
+                f"index of {index_names[:8]}") from None
+    stiffness = np.asarray(md.obsm[key], dtype=float)[index]
+    if not np.isfinite(stiffness).all():
+        raise ValueError(
+            f"the elastic tensor for row {labels[index]!r} is not finite; "
+            f"mv.prop.elastic records a failed row that way")
+
+    compliance = _compliance_tensor(stiffness)
+    angle = np.linspace(0.0, 2.0 * np.pi, int(n_points))
+    planes = {
+        "xy": np.stack([np.cos(angle), np.sin(angle),
+                        np.zeros_like(angle)], axis=-1),
+        "xz": np.stack([np.cos(angle), np.zeros_like(angle),
+                        np.sin(angle)], axis=-1),
+        "yz": np.stack([np.zeros_like(angle), np.cos(angle),
+                        np.sin(angle)], axis=-1),
+    }
+
+    ax = ax if ax is not None else _plt().subplots(
+        figsize=(5.2, 5.2), subplot_kw={"projection": "polar"})[1]
+    colours = ("#4c72b0", "#c1121f", "#2a9d8f")
+    for (label, directions), colour in zip(planes.items(), colours):
+        ax.plot(angle, _youngs_along(compliance, directions), color=colour,
+                linewidth=1.4, label=label)
+
+    # Anisotropy over the sphere rather than over the three sections, so the
+    # number does not depend on which planes happen to be drawn.
+    sphere = _fibonacci_sphere(512)
+    over_sphere = _youngs_along(compliance, sphere)
+    finite = over_sphere[np.isfinite(over_sphere) & (over_sphere > 0)]
+    ratio = float(finite.max() / finite.min()) if finite.size else np.nan
+
+    ax.set_title(f"{labels[index]} — Young's modulus by direction\n"
+                 f"anisotropy {ratio:.2f}", fontsize=10)
+    ax.legend(frameon=False, fontsize=8, loc="upper right",
+              bbox_to_anchor=(1.15, 1.10))
+    ax.grid(True, alpha=0.3)
+    ax._matverse_anisotropy = ratio
+    ax._matverse_extremes = (float(finite.min()), float(finite.max())) \
+        if finite.size else (np.nan, np.nan)
+    return ax
+
+
+def _fibonacci_sphere(count: int) -> np.ndarray:
+    """Roughly equal-area directions on the unit sphere."""
+    index = np.arange(int(count)) + 0.5
+    phi = np.arccos(1.0 - 2.0 * index / count)
+    theta = np.pi * (1.0 + 5.0 ** 0.5) * index
+    return np.stack([np.cos(theta) * np.sin(phi),
+                     np.sin(theta) * np.sin(phi), np.cos(phi)], axis=-1)
+
+
+@register_function(
+    aliases=["plot fermi surface", "draw fermi surface", "fermi surface 3d",
+             "show the fermi surface"],
+    category="pl",
+    description="Draw the Fermi surface sheets stored by "
+                "mv.elec.fermi_surface, in three dimensions.",
+    requires={"uns": ["fermi_surface"]},
+    prerequisites=["mv.elec.fermi_surface"],
+    examples=["mv.pl.fermi_surface(md, level='pbe')",
+              "mv.pl.fermi_surface(md, level='pbe', row='Cu', elevation=20)"],
+    related=["mv.elec.fermi_surface", "mv.pl.bands", "mv.elec.band_features"],
+    notes="Draws the mesh mv.elec.fermi_surface kept, rather than "
+          "recomputing it. The interpolation behind a Fermi surface takes "
+          "minutes, and a plotting function that repeats it on every call is "
+          "not an interface worth having — so the vertices and faces are "
+          "stored once and read here.\\n\\n"
+          "The surface is clipped to the first Brillouin zone when "
+          "mv.elec.fermi_surface was run with wigner_seitz, which is the "
+          "default. A sphere wider than the zone therefore appears with flat "
+          "faces where it crosses the boundary; those faces are physics, not "
+          "a rendering artefact.\\n\\n"
+          "Sheets are coloured separately because a count of them is the "
+          "thing to read off: one closed sheet is a simple metal, several are "
+          "pockets, and none is an insulator, which draws an empty axes "
+          "rather than raising.",
+)
+def fermi_surface(md: AnnData, level: str = "dft", row=0,
+                  azimuth: float = 45.0, elevation: float = 25.0, ax=None):
+    """Fermi surface sheets in three dimensions. Returns the axis."""
+    stored = (md.uns.get("fermi_surface") or {}).get(level)
+    if stored is None:
+        raise ValueError(
+            f"uns['fermi_surface'][{level!r}] absent; run "
+            f"mv.elec.fermi_surface(md, bandstructures, level={level!r}) "
+            f"first")
+    meshes = stored.get("meshes") or {}
+    if not meshes:
+        raise ValueError(
+            "no mesh was kept; mv.elec.fermi_surface was run with "
+            "keep_mesh=False, and the sheets cannot be redrawn without "
+            "repeating the interpolation")
+
+    names = [str(x) for x in md.obs_names]
+    name = str(row) if str(row) in names else names[int(row)]
+    sheets = meshes.get(name)
+    if sheets is None:
+        raise ValueError(
+            f"no Fermi surface was stored for {name!r}; it has "
+            f"{sorted(meshes)}")
+
+    from mpl_toolkits.mplot3d.art3d import Poly3DCollection
+
+    if ax is None:
+        ax = _plt().figure(figsize=(5.4, 5.0)).add_subplot(projection="3d")
+    palette = ("#4c72b0", "#c1121f", "#2a9d8f", "#e9c46a", "#8e44ad")
+    extent = 0.0
+    for index, sheet in enumerate(sheets):
+        vertices = np.asarray(sheet["vertices"], dtype=float)
+        faces = np.asarray(sheet["faces"], dtype=int)
+        if not len(faces):
+            continue
+        collection = Poly3DCollection(
+            vertices[faces], alpha=0.75, linewidths=0.0,
+            facecolor=palette[index % len(palette)])
+        ax.add_collection3d(collection)
+        extent = max(extent, float(np.abs(vertices).max()))
+
+    if extent > 0:
+        for setter in (ax.set_xlim, ax.set_ylim, ax.set_zlim):
+            setter(-extent, extent)
+    ax.set_xlabel("$k_x$"); ax.set_ylabel("$k_y$"); ax.set_zlabel("$k_z$")
+    ax.set_title(f"{name} — {len(sheets)} sheet"
+                 f"{'s' if len(sheets) != 1 else ''}", fontsize=10)
+    ax.view_init(elev=float(elevation), azim=float(azimuth))
+    try:
+        ax.set_box_aspect((1, 1, 1))
+    except Exception:                                      # pragma: no cover
+        pass
+    ax._matverse_n_sheets = len(sheets)
+    return ax
diff --git a/matverse_guide/docs/_scripts/nb_chemical_space.py b/matverse_guide/docs/_scripts/nb_chemical_space.py
index 01fccdc..a6b0c2b 100644
--- a/matverse_guide/docs/_scripts/nb_chemical_space.py
+++ b/matverse_guide/docs/_scripts/nb_chemical_space.py
@@ -475,7 +475,17 @@ def mass_and_volume(structures):
 It also works on any dataset that has been through `mv.pp.symmetry`, which now
 records `spacegroup_number` and `spacegroup_symbol` alongside the crystal system
 and point group — the analyser was already being built, so the group itself cost
-nothing to report and is the one label everybody actually cites.
+nothing to report and is the one label everybody actually cites."""),
+
+    ("code", """\
+mv.pp.symmetry(md)
+mv.pl.spacegroups(md)"""),
+
+    ("markdown", """\
+On a screening library rather than a generated set, the same plot answers a
+different question: how much of the chemical space being searched is cubic, and
+whether the search has quietly concentrated on one crystal system. The bars are
+grouped by system for exactly that reading.
 
 ```{seealso}
 [Beyond one number](beyond_one_number.ipynb) covers the results that are not a
diff --git a/matverse_guide/docs/_scripts/nb_getting_started.py b/matverse_guide/docs/_scripts/nb_getting_started.py
index 97f3235..c26d8c9 100644
--- a/matverse_guide/docs/_scripts/nb_getting_started.py
+++ b/matverse_guide/docs/_scripts/nb_getting_started.py
@@ -384,6 +384,47 @@ def mace_factory():
 comparison"""),
 
     ("markdown", """\
+### What those four numbers are hiding
+
+`mv.prop.elastic` computes the whole 6×6 stiffness tensor and stores it in
+`obsm`. What it puts in `obs` is four **isotropic averages** — bulk, shear and
+Young's moduli, and a Poisson ratio. Those are the Voigt-Reuss-Hill numbers a
+screen ranks on, and they are precisely the part of the tensor that survives
+averaging the direction dependence away.
+
+`mv.pl.elastic` draws what is left out: Young's modulus as a function of
+direction, in the three principal planes."""),
+
+    ("code", """\
+import matplotlib.pyplot as plt
+
+fig, axes = plt.subplots(1, 3, figsize=(13, 4.6),
+                         subplot_kw={"projection": "polar"})
+for ax, name in zip(axes, ["Cu", "Al", "Ni"]):
+    mv.pl.elastic(metals, level="emt", row=name, ax=ax)
+fig.tight_layout()"""),
+
+    ("markdown", """\
+The four-lobed shape is what a cubic crystal looks like: stiffest along the body
+diagonal, softest along the cube axes. `ax._matverse_anisotropy` is the ratio of
+the largest directional modulus to the smallest over the whole sphere, and it is
+exactly 1 for an isotropic solid.
+
+For copper the measured constants — C₁₁ = 168.4, C₁₂ = 121.4, C₄₄ = 75.4 GPa —
+give **67 GPa along [100] and 191 along [111]**, a factor of 2.9, where the
+isotropic average is a single number near 120. A screen ranked on that average
+is treating a material whose stiffness varies threefold with direction as
+though it did not.
+
+```{note}
+The compliance tensor carries Voigt factors that the stiffness tensor does not
+— a half on every shear index and a quarter on a shear–shear pair. Inverting the
+6×6 and expanding it without them produces a tensor that looks reasonable and
+reports an anisotropy that is not there; an isotropic solid stops being a
+circle. The suite has a test that deliberately drops the factors and asserts
+that the result *does* go wrong, so the check cannot quietly stop checking.
+```
+
 Within 1.1% across seven metals and two independent implementations, and under
 0.4% for six of them.
 
@@ -671,6 +712,17 @@ def mace_factory():
 metals.obs[["name", "thermal_conductivity_emt", "bulk_modulus_emt",
             "conductive_and_stiff"]].round(1)"""),
 
+    ("markdown", """\
+A threshold is a decision, and a table of seven rows does not show whether it
+was a sensible one. `mv.pl.distribution` puts the cut where it can be seen
+against the spread it is cutting — `by=` overlays one histogram per category on
+**shared bins**, because two distributions plotted on different bins are not
+being compared."""),
+
+    ("code", """\
+mv.pl.distribution(metals, "bulk_modulus_emt", by="conductive_and_stiff",
+                   bins=8)"""),
+
     ("markdown", """\
 Subset when you actually want the short list — the object is an ordinary
 AnnData, so `metals[metals.obs['conductive_and_stiff']]` works and carries
diff --git a/matverse_guide/docs/_scripts/nb_structure_and_bands.py b/matverse_guide/docs/_scripts/nb_structure_and_bands.py
index 3816c21..57324cc 100644
--- a/matverse_guide/docs/_scripts/nb_structure_and_bands.py
+++ b/matverse_guide/docs/_scripts/nb_structure_and_bands.py
@@ -526,6 +526,39 @@ def semiconductor(structure, gap=1.7, spacing=2.0, n_each=2):
 an insulator rather than raised as an error.
 ```
 
+Because that interpolation is expensive, `mv.elec.fermi_surface` keeps each
+sheet's vertices and faces in `uns`, and `mv.pl.fermi_surface` draws the stored
+mesh instead of repeating the work. A plotting function that recomputed for
+minutes on every call would not be an interface worth having; a few hundred
+kilobytes buys it away."""),
+
+    ("code", """\
+try:
+    import matplotlib.pyplot as plt
+
+    surfaces = mv.data.from_structures([cell, cell])
+    surfaces.obs_names = ["inside the zone", "clipped by the zone"]
+    both = [BandStructure(frac, {Spin.up: energies[None, :]}, reciprocal, ef,
+                          structure=cell) for ef in (0.8, 3.0)]
+    mv.elec.fermi_surface(surfaces, both, level="free-electron",
+                          interpolation_factor=3)
+
+    figure = plt.figure(figsize=(11, 5))
+    for position, name in enumerate(surfaces.obs_names, start=1):
+        panel = figure.add_subplot(1, 2, position, projection="3d")
+        mv.pl.fermi_surface(surfaces, level="free-electron", row=name,
+                            ax=panel)
+    figure.tight_layout()
+except ImportError:
+    print("needs IFermi; pip install matverse[fermi]")"""),
+
+    ("markdown", """\
+The left surface is a sphere. The right one is the same sphere at a higher Fermi
+level, and the **flat circular faces** are where it has grown past the zone
+boundary and been truncated. Those faces are physics, not a rendering artefact —
+the sphere genuinely stops there, and the area that remains is the one that
+carries current.
+
 ## What both objects remember"""),
 
     ("code", """\
diff --git a/matverse_guide/docs/api/user.md b/matverse_guide/docs/api/user.md
index a437b28..e0b0fff 100644
--- a/matverse_guide/docs/api/user.md
+++ b/matverse_guide/docs/api/user.md
@@ -12,7 +12,7 @@ agent. Every entry names the state it reads and the state it writes, and each of
 those claims is verified by execution in `tests/test_contracts.py` rather than
 asserted.
 
-Public registry entries listed here: 216
+Public registry entries listed here: 218
 
 Look a function up by intent rather than by name:
 
@@ -414,7 +414,9 @@ Publication defaults; every function draws onto an axis and returns it.
 
    pl.bands
    pl.distribution
+   pl.elastic
    pl.embedding
+   pl.fermi_surface
    pl.hull
    pl.pareto
    pl.parity
diff --git a/matverse_guide/docs/tutorials/beyond_one_number.ipynb b/matverse_guide/docs/tutorials/beyond_one_number.ipynb
index ac76996..3259c99 100644
--- a/matverse_guide/docs/tutorials/beyond_one_number.ipynb
+++ b/matverse_guide/docs/tutorials/beyond_one_number.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6803dc7b",
+   "id": "0f311cf2",
    "metadata": {},
    "source": [
     "# Beyond one number per material\n",
@@ -19,13 +19,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "71646a10",
+   "id": "f3e78770",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:01.455573Z",
-     "iopub.status.busy": "2026-08-05T00:20:01.455490Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.396919Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.396264Z"
+     "iopub.execute_input": "2026-08-05T21:18:37.044993Z",
+     "iopub.status.busy": "2026-08-05T21:18:37.044882Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.435641Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.435142Z"
     }
    },
    "outputs": [
@@ -69,7 +69,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "15f1fef5",
+   "id": "ab47d7c0",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -98,13 +98,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "1f40d862",
+   "id": "23f7d5d5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.398300Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.397917Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.421503Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.421031Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.436855Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.436516Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.458888Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.458542Z"
     }
    },
    "outputs": [
@@ -218,7 +218,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b1d26d3f",
+   "id": "1bf17fa6",
    "metadata": {},
    "source": [
     "## Curves live in `obsm` on a shared grid\n",
@@ -232,13 +232,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "4ea20dd2",
+   "id": "f952ae2c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.422484Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.422386Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.465065Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.464589Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.459644Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.459551Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.500935Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.500549Z"
     }
    },
    "outputs": [
@@ -261,7 +261,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "356a6af9",
+   "id": "dcababdc",
    "metadata": {},
    "source": [
     "The block is named `'<quantity>_<level>'`, exactly like a scalar:\n",
@@ -287,13 +287,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "8cfb1343",
+   "id": "04f3aa33",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.466381Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.466286Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.468992Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.468551Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.501777Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.501688Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.503979Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.503680Z"
     }
    },
    "outputs": [
@@ -319,13 +319,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "417d2b1d",
+   "id": "9b726855",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.469800Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.469702Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.627519Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.626994Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.504668Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.504584Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.654101Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.653781Z"
     }
    },
    "outputs": [
@@ -362,7 +362,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c5f2ea54",
+   "id": "658f9aac",
    "metadata": {},
    "source": [
     "`mv.prop.rdf` is the other curve that ships, and it earns its place by doing\n",
@@ -372,13 +372,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "2873f11e",
+   "id": "f06e790b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.628592Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.628492Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.790126Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.789736Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.655252Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.655152Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.809081Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.808691Z"
     }
    },
    "outputs": [
@@ -417,7 +417,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "98af68ba",
+   "id": "cbb2c639",
    "metadata": {},
    "source": [
     "Two polymorphs have the same composition, so `X` cannot tell them apart and\n",
@@ -438,13 +438,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "45bf96cd",
+   "id": "8cc3a6d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.791103Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.790943Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.795179Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.794864Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.809933Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.809843Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.813630Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.813294Z"
     }
    },
    "outputs": [
@@ -467,13 +467,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "7dad3e67",
+   "id": "e624a749",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.795981Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.795890Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.802469Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.802081Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.814411Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.814310Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.820312Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.820025Z"
     }
    },
    "outputs": [
@@ -501,13 +501,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "6b024b98",
+   "id": "5718b02a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.803312Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.803215Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.807740Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.807401Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.821023Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.820935Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.825066Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.824743Z"
     }
    },
    "outputs": [
@@ -622,7 +622,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "81f0ce2e",
+   "id": "e13f9473",
    "metadata": {},
    "source": [
     "One row per atom, with `obs['material']` pointing back at the parent. Per-atom\n",
@@ -632,13 +632,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "de886c39",
+   "id": "efae5334",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.808557Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.808462Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.830857Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.830491Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.825742Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.825658Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.846957Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.846657Z"
     }
    },
    "outputs": [
@@ -662,13 +662,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "b3f89c6a",
+   "id": "07889654",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.831780Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.831685Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.836752Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.836444Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.847632Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.847548Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.852148Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.851849Z"
     }
    },
    "outputs": [
@@ -775,13 +775,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "2769f755",
+   "id": "4a7648fc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.837535Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.837444Z",
-     "iopub.status.idle": "2026-08-05T00:20:07.929767Z",
-     "shell.execute_reply": "2026-08-05T00:20:07.929386Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.852819Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.852733Z",
+     "iopub.status.idle": "2026-08-05T21:18:43.941899Z",
+     "shell.execute_reply": "2026-08-05T21:18:43.941557Z"
     }
    },
    "outputs": [
@@ -821,7 +821,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b27c577c",
+   "id": "67548138",
    "metadata": {},
    "source": [
     "One point per atom says which atoms are unrelaxed. The other question is what\n",
@@ -833,13 +833,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "ca7838d4",
+   "id": "6a3a3ea1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:07.930776Z",
-     "iopub.status.busy": "2026-08-05T00:20:07.930681Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.117297Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.116893Z"
+     "iopub.execute_input": "2026-08-05T21:18:43.942783Z",
+     "iopub.status.busy": "2026-08-05T21:18:43.942697Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.120283Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.119886Z"
     }
    },
    "outputs": [
@@ -877,7 +877,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c6884ca4",
+   "id": "cd835cc4",
    "metadata": {},
    "source": [
     "Shared bins across the elements, which is the only way the two are being\n",
@@ -888,7 +888,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8be1f4b1",
+   "id": "f1f5c49c",
    "metadata": {},
    "source": [
     "Twenty-six points where the material axis has room for seven — which is the\n",
@@ -913,13 +913,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "505ac84b",
+   "id": "f909225a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.118231Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.118133Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.123402Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.123024Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.121134Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.121043Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.125807Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.125493Z"
     }
    },
    "outputs": [
@@ -1012,7 +1012,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "84298a87",
+   "id": "66015aed",
    "metadata": {},
    "source": [
     "The largest force in each cell, on the material axis, where a screen can reach\n",
@@ -1023,13 +1023,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "49b5f116",
+   "id": "a9389526",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.124184Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.124096Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.129513Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.129158Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.126693Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.126609Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.131373Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.131082Z"
     }
    },
    "outputs": [
@@ -1129,7 +1129,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "18c3814d",
+   "id": "896c0503",
    "metadata": {},
    "source": [
     "The detail stays on the sites object where it can still be inspected; the\n",
@@ -1145,13 +1145,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "5da4001c",
+   "id": "d450899c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.130297Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.130203Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.141532Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.141165Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.132099Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.132018Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.142449Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.142146Z"
     }
    },
    "outputs": [
@@ -1235,7 +1235,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "09e4a9b8",
+   "id": "28618042",
    "metadata": {},
    "source": [
     "That is `rank_genes_groups` answering \"which elements sit in the highest-force\n",
@@ -1247,13 +1247,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "0fc6007e",
+   "id": "69d1d1b1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.142303Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.142211Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.171703Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.171316Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.143141Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.143059Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.169782Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.169478Z"
     }
    },
    "outputs": [
@@ -1308,7 +1308,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8504831c",
+   "id": "7cb28373",
    "metadata": {},
    "source": [
     "Optional throughout. matverse's operations take `AnnData`, and the sites object\n",
@@ -1319,13 +1319,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "f5ada6e0",
+   "id": "8e729de3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.172685Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.172589Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.468057Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.467696Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.170490Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.170406Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.461946Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.461586Z"
     }
    },
    "outputs": [
@@ -1434,7 +1434,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b27dd6f7",
+   "id": "9a4ea760",
    "metadata": {},
    "source": [
     "A TEM pattern is spots on a plane, and a plane of spots does not compare across\n",
@@ -1458,7 +1458,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b2decbbb",
+   "id": "04b737ea",
    "metadata": {},
    "source": [
     "## A result computed somewhere else\n",
@@ -1487,13 +1487,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "e78c44c9",
+   "id": "55b7a989",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.469042Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.468954Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.481720Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.481353Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.462946Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.462857Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.475652Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.475251Z"
     }
    },
    "outputs": [
@@ -1602,7 +1602,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cc21f1fe",
+   "id": "3033e5f1",
    "metadata": {},
    "source": [
     "`sigma_iso` is 30, the trace over three. `zeta` is 30, which is\n",
@@ -1624,13 +1624,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "37bce05e",
+   "id": "9a985205",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.482684Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.482567Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.499626Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.499253Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.476599Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.476513Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.492410Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.492107Z"
     }
    },
    "outputs": [
@@ -1725,7 +1725,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6267b2fd",
+   "id": "82a73d8c",
    "metadata": {},
    "source": [
     "The coupling constant is the only one of the three that needs to know which\n",
@@ -1742,13 +1742,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "48903d69",
+   "id": "2dda1a76",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.500538Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.500377Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.528195Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.527815Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.493321Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.493231Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.518529Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.518179Z"
     }
    },
    "outputs": [
@@ -1819,7 +1819,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a036cafa",
+   "id": "20b249d9",
    "metadata": {},
    "source": [
     "**2.30 pC/N**, recovered from the tensor without being told where to look. For\n",
@@ -1836,13 +1836,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "4173b047",
+   "id": "ebcc2896",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.529040Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.528948Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.589263Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.588913Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.519447Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.519360Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.579617Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.579286Z"
     }
    },
    "outputs": [
@@ -1867,7 +1867,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f597d036",
+   "id": "2bd60b8b",
    "metadata": {},
    "source": [
     "`False` — and a non-zero piezoelectric tensor on an fcc metal is an error in the\n",
@@ -1885,13 +1885,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "7324698f",
+   "id": "3f0d5f8d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.590084Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.589994Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.594478Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.594174Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.580386Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.580295Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.583921Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.583616Z"
     }
    },
    "outputs": [
@@ -1925,13 +1925,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "ab7ca5a8",
+   "id": "684f7b6e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.595193Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.595110Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.697806Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.697438Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.584592Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.584509Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.690756Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.690400Z"
     }
    },
    "outputs": [
@@ -2032,7 +2032,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f9f80ec5",
+   "id": "36344205",
    "metadata": {},
    "source": [
     "Read the first three rows against the last four.\n",
@@ -2063,13 +2063,13 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "092586e5",
+   "id": "cef30230",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.698623Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.698534Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.799284Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.798894Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.691504Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.691422Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.791519Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.791196Z"
     }
    },
    "outputs": [
@@ -2144,7 +2144,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "84633c13",
+   "id": "c3d19977",
    "metadata": {},
    "source": [
     "That is the penalty silicon pays, and the reason a direct-gap absorber a tenth\n",
@@ -2160,13 +2160,13 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "e707a77e",
+   "id": "5b92ac68",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.800090Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.800000Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.825627Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.825275Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.792232Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.792148Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.816385Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.815994Z"
     }
    },
    "outputs": [
@@ -2273,7 +2273,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "378a1880",
+   "id": "333a8e95",
    "metadata": {},
    "source": [
     "Three numbers, three levels, one table, and nobody had to decide which one is\n",
@@ -2284,13 +2284,13 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "2656976f",
+   "id": "0c6db480",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.826610Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.826521Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.828742Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.828437Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.817223Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.817141Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.819178Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.818878Z"
     }
    },
    "outputs": [
@@ -2318,13 +2318,13 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "8f7b198e",
+   "id": "d0bc5e83",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.829470Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.829387Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.926709Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.926315Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.819858Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.819778Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.912255Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.911918Z"
     }
    },
    "outputs": [
@@ -2350,7 +2350,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cb1148ab",
+   "id": "8e7d75a4",
    "metadata": {},
    "source": [
     "`mv.pl.parity` annotates the error and — the useful bit — prints a warning on\n",
@@ -2367,13 +2367,13 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "id": "6d356492",
+   "id": "59409cfb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.927602Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.927512Z",
-     "iopub.status.idle": "2026-08-05T00:20:08.934115Z",
-     "shell.execute_reply": "2026-08-05T00:20:08.933763Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.913079Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.912996Z",
+     "iopub.status.idle": "2026-08-05T21:18:44.918851Z",
+     "shell.execute_reply": "2026-08-05T21:18:44.918543Z"
     }
    },
    "outputs": [
@@ -2480,20 +2480,20 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "id": "aceba404",
+   "id": "b70d534d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:08.934911Z",
-     "iopub.status.busy": "2026-08-05T00:20:08.934821Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.082759Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.082406Z"
+     "iopub.execute_input": "2026-08-05T21:18:44.919783Z",
+     "iopub.status.busy": "2026-08-05T21:18:44.919701Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.060568Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.060249Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fa6e9471bb0>"
+       "<matplotlib.legend.Legend at 0x7eff66c253a0>"
       ]
      },
      "execution_count": 30,
@@ -2529,7 +2529,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bd700223",
+   "id": "a1a16bd4",
    "metadata": {},
    "source": [
     "Both patterns are baseline-shifted and unit-normalised before the dot product,\n",
@@ -2540,13 +2540,13 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "id": "6f5bb47d",
+   "id": "c6376696",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.083699Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.083603Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.085959Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.085608Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.061680Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.061592Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.063693Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.063399Z"
     }
    },
    "outputs": [
@@ -2567,7 +2567,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2bbb35c7",
+   "id": "271e0f14",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -2586,13 +2586,13 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "id": "709751ca",
+   "id": "7c5993bc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.086718Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.086631Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.093777Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.093450Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.064415Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.064334Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.070731Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.070431Z"
     }
    },
    "outputs": [
@@ -2701,7 +2701,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e98ba5a8",
+   "id": "5becc27d",
    "metadata": {},
    "source": [
     "Measurements are resampled onto the existing grid, because two curves on\n",
@@ -2732,13 +2732,13 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "id": "4fd05e77",
+   "id": "8c6caac8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.094537Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.094448Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.150547Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.150160Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.071428Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.071346Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.125302Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.124993Z"
     }
    },
    "outputs": [
@@ -2901,13 +2901,13 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "id": "28ac1adf",
+   "id": "a083d4c2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.151365Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.151272Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.155222Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.154885Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.126229Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.126146Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.129539Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.129213Z"
     }
    },
    "outputs": [
@@ -2935,7 +2935,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48ca53b1",
+   "id": "146626eb",
    "metadata": {},
    "source": [
     "The fitted offsets should recover the ones put in — 0.10, −0.06 and 0.03:"
@@ -2944,13 +2944,13 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "id": "7e63edae",
+   "id": "606d437e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.155997Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.155908Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.158784Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.158465Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.130243Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.130158Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.132743Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.132442Z"
     }
    },
    "outputs": [
@@ -2977,13 +2977,13 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "id": "d470b2f5",
+   "id": "dbc34f90",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.159511Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.159425Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.336489Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.336016Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.133428Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.133347Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.301665Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.301211Z"
     }
    },
    "outputs": [
@@ -3020,7 +3020,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5569bb8a",
+   "id": "8156b80e",
    "metadata": {},
    "source": [
     "Same materials, two databases, plotted against each other. Before, they scatter\n",
@@ -3049,13 +3049,13 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "id": "3b18df59",
+   "id": "4794e606",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.337614Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.337428Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.353615Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.353197Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.302547Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.302452Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.317847Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.317496Z"
     }
    },
    "outputs": [
@@ -3165,13 +3165,13 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "id": "b834879a",
+   "id": "0d1a5730",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.354494Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.354350Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.360109Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.359707Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.318690Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.318596Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.323957Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.323632Z"
     }
    },
    "outputs": [
@@ -3199,7 +3199,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b14423d6",
+   "id": "20921fda",
    "metadata": {},
    "source": [
     "Validity, uniqueness, novelty and stability use LeMat-GenBench's definitions\n",
@@ -3209,13 +3209,13 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "id": "b7b57d6c",
+   "id": "1421256d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.360947Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.360860Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.362976Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.362663Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.324708Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.324619Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.326699Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.326378Z"
     }
    },
    "outputs": [
@@ -3246,7 +3246,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "03e2206a",
+   "id": "1d1917df",
    "metadata": {},
    "source": [
     "That matters more than it looks. Until those definitions were pinned, the same\n",
@@ -3264,13 +3264,13 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "id": "48646c3d",
+   "id": "747ea606",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.363666Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.363585Z",
-     "iopub.status.idle": "2026-08-05T00:20:09.365473Z",
-     "shell.execute_reply": "2026-08-05T00:20:09.365171Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.327450Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.327366Z",
+     "iopub.status.idle": "2026-08-05T21:18:45.329327Z",
+     "shell.execute_reply": "2026-08-05T21:18:45.328999Z"
     }
    },
    "outputs": [
@@ -3291,7 +3291,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7a1259cb",
+   "id": "4f6d3ab3",
    "metadata": {},
    "source": [
     "Novelty means \"absent from the reference set you named\", which is a weaker claim\n",
@@ -3315,13 +3315,13 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "id": "1c049426",
+   "id": "5a27b6fa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:09.366148Z",
-     "iopub.status.busy": "2026-08-05T00:20:09.366066Z",
-     "iopub.status.idle": "2026-08-05T00:20:11.185981Z",
-     "shell.execute_reply": "2026-08-05T00:20:11.185535Z"
+     "iopub.execute_input": "2026-08-05T21:18:45.330087Z",
+     "iopub.status.busy": "2026-08-05T21:18:45.330005Z",
+     "iopub.status.idle": "2026-08-05T21:18:47.128949Z",
+     "shell.execute_reply": "2026-08-05T21:18:47.128566Z"
     }
    },
    "outputs": [
@@ -3435,7 +3435,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "289b99d9",
+   "id": "f9f3741d",
    "metadata": {},
    "source": [
     "From LiFePO₄ it reaches **LiVPO₄** and **LiTiPO₄** — both real olivine\n",
@@ -3452,13 +3452,13 @@
   {
    "cell_type": "code",
    "execution_count": 42,
-   "id": "4ec6beb6",
+   "id": "a43dd4f6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:11.186916Z",
-     "iopub.status.busy": "2026-08-05T00:20:11.186814Z",
-     "iopub.status.idle": "2026-08-05T00:20:11.847488Z",
-     "shell.execute_reply": "2026-08-05T00:20:11.847081Z"
+     "iopub.execute_input": "2026-08-05T21:18:47.129930Z",
+     "iopub.status.busy": "2026-08-05T21:18:47.129834Z",
+     "iopub.status.idle": "2026-08-05T21:18:47.790945Z",
+     "shell.execute_reply": "2026-08-05T21:18:47.790459Z"
     }
    },
    "outputs": [
@@ -3521,7 +3521,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7affd220",
+   "id": "803d3067",
    "metadata": {},
    "source": [
     "Fluorine comes out as the n-type choice, which is the doping strategy LiFePO₄ is\n",
@@ -3538,13 +3538,13 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "id": "75df3d72",
+   "id": "e6fe0850",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:11.848415Z",
-     "iopub.status.busy": "2026-08-05T00:20:11.848325Z",
-     "iopub.status.idle": "2026-08-05T00:20:11.961006Z",
-     "shell.execute_reply": "2026-08-05T00:20:11.960675Z"
+     "iopub.execute_input": "2026-08-05T21:18:47.792077Z",
+     "iopub.status.busy": "2026-08-05T21:18:47.791973Z",
+     "iopub.status.idle": "2026-08-05T21:18:47.905133Z",
+     "shell.execute_reply": "2026-08-05T21:18:47.904777Z"
     }
    },
    "outputs": [
@@ -3652,7 +3652,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b774b389",
+   "id": "04dc0e86",
    "metadata": {},
    "source": [
     "No calculator involved — the prediction comes from tabulated bond lengths — and\n",
@@ -3670,13 +3670,13 @@
   {
    "cell_type": "code",
    "execution_count": 44,
-   "id": "5d3d2ec3",
+   "id": "e0c52a7d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:11.962004Z",
-     "iopub.status.busy": "2026-08-05T00:20:11.961912Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.752502Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.752097Z"
+     "iopub.execute_input": "2026-08-05T21:18:47.905949Z",
+     "iopub.status.busy": "2026-08-05T21:18:47.905860Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.697073Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.696643Z"
     }
    },
    "outputs": [
@@ -3738,7 +3738,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3a38bbf1",
+   "id": "6868ca2b",
    "metadata": {},
    "source": [
     "From LiFePO₄ alone it builds **NaMnPO₄** — a real sodium-ion cathode — because\n",
@@ -3763,7 +3763,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cecfec53",
+   "id": "e620ad84",
    "metadata": {},
    "source": [
     "## Why a material is piezoelectric, not just how much\n",
@@ -3781,13 +3781,13 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "id": "4d1b7d8f",
+   "id": "fa140632",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.753416Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.753327Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.808297Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.807923Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.698235Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.698145Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.750300Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.750000Z"
     }
    },
    "outputs": [
@@ -3870,7 +3870,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b8538129",
+   "id": "81f6f56c",
    "metadata": {},
    "source": [
     "Doubling the Born charges doubles the response. Doubling the force constants\n",
@@ -3894,7 +3894,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b3db2c58",
+   "id": "69fbf006",
    "metadata": {},
    "source": [
     "## The polarization that is not a number\n",
@@ -3916,13 +3916,13 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "id": "66364fe4",
+   "id": "4671ce1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.809093Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.809005Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.816825Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.816484Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.751515Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.751422Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.759136Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.758825Z"
     }
    },
    "outputs": [
@@ -3956,7 +3956,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8c16fb63",
+   "id": "3f203b35",
    "metadata": {},
    "source": [
     "Nothing about that sequence looks like a smooth ferroelectric switching path.\n",
@@ -3970,13 +3970,13 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "id": "4912867f",
+   "id": "09f66505",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.817563Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.817476Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.826267Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.825836Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.760031Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.759872Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.768189Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.767866Z"
     }
    },
    "outputs": [
@@ -4013,7 +4013,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4c0796b9",
+   "id": "76694aef",
    "metadata": {},
    "source": [
     "The smooth path, recovered exactly, and a spontaneous polarization of\n",
@@ -4036,7 +4036,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e1edcdbe",
+   "id": "80f94832",
    "metadata": {},
    "source": [
     "## Corrections of your own\n",
@@ -4054,13 +4054,13 @@
   {
    "cell_type": "code",
    "execution_count": 48,
-   "id": "2f961763",
+   "id": "5cfc76f2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.827174Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.827031Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.864227Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.863851Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.769018Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.768929Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.805596Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.805180Z"
     }
    },
    "outputs": [
@@ -4105,7 +4105,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "86d95a27",
+   "id": "777a94ea",
    "metadata": {},
    "source": [
     "**−0.45 eV per oxygen, recovered to four decimals**, with an error bar beside\n",
@@ -4116,13 +4116,13 @@
   {
    "cell_type": "code",
    "execution_count": 49,
-   "id": "cbde092f",
+   "id": "9d1b9d20",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.865080Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.864941Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.869767Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.869448Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.806588Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.806498Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.811149Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.810821Z"
     }
    },
    "outputs": [
@@ -4194,7 +4194,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "190eb124",
+   "id": "a65e1d31",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -4217,7 +4217,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b4c06e0f",
+   "id": "790ea5cb",
    "metadata": {},
    "source": [
     "## A hull the laboratory built\n",
@@ -4234,13 +4234,13 @@
   {
    "cell_type": "code",
    "execution_count": 50,
-   "id": "804a699a",
+   "id": "8eb130e2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.870493Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.870409Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.885359Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.885016Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.811925Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.811841Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.826134Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.825822Z"
     }
    },
    "outputs": [
@@ -4341,7 +4341,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8d9dea07",
+   "id": "96f28e53",
    "metadata": {},
    "source": [
     "Hematite and magnetite sit on the hull. **Wüstite sits 0.039 eV/atom above it**\n",
@@ -4370,13 +4370,13 @@
   {
    "cell_type": "code",
    "execution_count": 51,
-   "id": "182ab0ae",
+   "id": "216b2c2c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.886100Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.886013Z",
-     "iopub.status.idle": "2026-08-05T00:20:12.888046Z",
-     "shell.execute_reply": "2026-08-05T00:20:12.887750Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.827198Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.827111Z",
+     "iopub.status.idle": "2026-08-05T21:18:48.829142Z",
+     "shell.execute_reply": "2026-08-05T21:18:48.828850Z"
     }
    },
    "outputs": [
@@ -4397,7 +4397,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed9d7094",
+   "id": "127184df",
    "metadata": {},
    "source": [
     "Now the comparison this was for. Run `mv.thermo.hull` at a computed level on the\n",
@@ -4408,7 +4408,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "41cf69ea",
+   "id": "0c32ef19",
    "metadata": {},
    "source": [
     "## A hull is not a phase diagram\n",
@@ -4426,13 +4426,13 @@
   {
    "cell_type": "code",
    "execution_count": 52,
-   "id": "d9a3c96a",
+   "id": "cf727627",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:12.888715Z",
-     "iopub.status.busy": "2026-08-05T00:20:12.888633Z",
-     "iopub.status.idle": "2026-08-05T00:20:13.277442Z",
-     "shell.execute_reply": "2026-08-05T00:20:13.277021Z"
+     "iopub.execute_input": "2026-08-05T21:18:48.829852Z",
+     "iopub.status.busy": "2026-08-05T21:18:48.829770Z",
+     "iopub.status.idle": "2026-08-05T21:18:49.221217Z",
+     "shell.execute_reply": "2026-08-05T21:18:49.220509Z"
     }
    },
    "outputs": [
@@ -4475,7 +4475,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3f9ffeda",
+   "id": "f05c007c",
    "metadata": {},
    "source": [
     "The Pb-Sn eutectic is measured at **456 K**, and those two temperatures\n",
diff --git a/matverse_guide/docs/tutorials/chemical_space.ipynb b/matverse_guide/docs/tutorials/chemical_space.ipynb
index 836fdc8..fbb9163 100644
--- a/matverse_guide/docs/tutorials/chemical_space.ipynb
+++ b/matverse_guide/docs/tutorials/chemical_space.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6343d56c",
+   "id": "b626ae57",
    "metadata": {},
    "source": [
     "# Chemical space\n",
@@ -19,13 +19,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "6e930f61",
+   "id": "ea0f72e0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:49.698034Z",
-     "iopub.status.busy": "2026-08-05T00:19:49.697962Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.091893Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.091330Z"
+     "iopub.execute_input": "2026-08-05T21:18:24.211310Z",
+     "iopub.status.busy": "2026-08-05T21:18:24.211185Z",
+     "iopub.status.idle": "2026-08-05T21:18:30.376090Z",
+     "shell.execute_reply": "2026-08-05T21:18:30.375605Z"
     }
    },
    "outputs": [
@@ -69,7 +69,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "543cf71e",
+   "id": "d4f0bfde",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -98,13 +98,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "4761c927",
+   "id": "92338636",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.093575Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.093111Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.806653Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.806171Z"
+     "iopub.execute_input": "2026-08-05T21:18:30.377409Z",
+     "iopub.status.busy": "2026-08-05T21:18:30.376909Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.073405Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.072958Z"
     }
    },
    "outputs": [
@@ -230,7 +230,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6bc1e7a5",
+   "id": "62212b72",
    "metadata": {},
    "source": [
     "## Why elements are the right axis\n",
@@ -243,13 +243,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "aab3a3af",
+   "id": "9c3b577d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.807638Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.807511Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.812509Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.812152Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.074286Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.074177Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.079071Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.078715Z"
     }
    },
    "outputs": [
@@ -355,7 +355,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90877004",
+   "id": "53326cab",
    "metadata": {},
    "source": [
     "Counts come from the **reduced** formula, so a supercell and its primitive cell\n",
@@ -369,13 +369,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "5a8addd6",
+   "id": "8ccbceba",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.813280Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.813182Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.817803Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.817474Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.079818Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.079733Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.084238Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.083898Z"
     }
    },
    "outputs": [
@@ -458,7 +458,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0be2c2f7",
+   "id": "f5e886b4",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -472,13 +472,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "890c39cf",
+   "id": "214e1a06",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.818551Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.818464Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.822742Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.822395Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.084940Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.084854Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.089030Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.088695Z"
     }
    },
    "outputs": [
@@ -549,7 +549,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5ad3b3cb",
+   "id": "2bcae29b",
    "metadata": {},
    "source": [
     "## The dividend inside the library\n",
@@ -563,13 +563,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "5a079435",
+   "id": "33df6173",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.823638Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.823530Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.826939Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.826607Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.089724Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.089636Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.092901Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.092577Z"
     }
    },
    "outputs": [
@@ -591,7 +591,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48fd7e9b",
+   "id": "c20a296a",
    "metadata": {},
    "source": [
     "Check one by hand. For Al₃Cu the weighted mean electronegativity should be\n",
@@ -601,13 +601,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "49fa9b5b",
+   "id": "896de1d0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.827710Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.827565Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.830027Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.829696Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.093573Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.093487Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.095864Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.095535Z"
     }
    },
    "outputs": [
@@ -632,7 +632,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3220d7c6",
+   "id": "7e567419",
    "metadata": {},
    "source": [
     "Those descriptors are also a distance, which makes the library a matrix you can\n",
@@ -642,20 +642,20 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "7d257138",
+   "id": "e227ca76",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.830741Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.830654Z",
-     "iopub.status.idle": "2026-08-05T00:19:56.998756Z",
-     "shell.execute_reply": "2026-08-05T00:19:56.998336Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.096531Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.096444Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.256633Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.256211Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x7fe5469b43b0>"
+       "<matplotlib.colorbar.Colorbar at 0x7fb365605580>"
       ]
      },
      "execution_count": 8,
@@ -694,7 +694,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "be636f4d",
+   "id": "03a42336",
    "metadata": {},
    "source": [
     "The two Al–Cu orderings sit next to each other and the elementals separate,\n",
@@ -712,13 +712,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "8a0d4cdf",
+   "id": "403c3b94",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:56.999667Z",
-     "iopub.status.busy": "2026-08-05T00:19:56.999566Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.002326Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.002002Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.257537Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.257415Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.260035Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.259696Z"
     }
    },
    "outputs": [
@@ -744,7 +744,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "20eca1a3",
+   "id": "94bcfa5f",
    "metadata": {},
    "source": [
     "A site-averaged SOAP vector per structure, which separates two polymorphs of\n",
@@ -767,13 +767,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "0f19b127",
+   "id": "c28f6954",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.003084Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.002993Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.008878Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.008531Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.260739Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.260653Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.266219Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.265875Z"
     }
    },
    "outputs": [
@@ -886,13 +886,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "9dd1b190",
+   "id": "a333b4a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.009652Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.009558Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.011703Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.011371Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.266913Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.266824Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.268842Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.268534Z"
     }
    },
    "outputs": [
@@ -915,7 +915,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "da44a990",
+   "id": "d23b2a69",
    "metadata": {},
    "source": [
     "Which model produced the block, and under what licence, is recorded next to it\n",
@@ -937,13 +937,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "a3ce7c9a",
+   "id": "978b5963",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.012453Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.012362Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.288132Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.287569Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.269494Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.269413Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.537680Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.537314Z"
     }
    },
    "outputs": [
@@ -1039,7 +1039,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b11aabb9",
+   "id": "d3d7e3a2",
    "metadata": {},
    "source": [
     "`normalize_composition` writes atomic fractions to a **layer** rather than\n",
@@ -1055,13 +1055,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "cc8baca0",
+   "id": "d259ec2e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.289104Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.289001Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.416353Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.415884Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.538591Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.538500Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.659629Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.659172Z"
     }
    },
    "outputs": [
@@ -1098,7 +1098,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7c92332b",
+   "id": "cbde84a3",
    "metadata": {},
    "source": [
     "## The question that follows every screen\n",
@@ -1109,13 +1109,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "e1ecdedf",
+   "id": "1a3e057d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.417341Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.417233Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.429331Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.428916Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.660621Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.660468Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.671332Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.670992Z"
     }
    },
    "outputs": [
@@ -1221,7 +1221,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b2a22c18",
+   "id": "8e6ff0b1",
    "metadata": {},
    "source": [
     "This is `rank_genes_groups` with the nouns changed, and it is the operation that\n",
@@ -1236,13 +1236,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "8a3ca1c9",
+   "id": "280fc2c7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.430270Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.430110Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.440587Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.440176Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.672029Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.671945Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.681073Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.680741Z"
     }
    },
    "outputs": [
@@ -1328,7 +1328,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bab75b36",
+   "id": "b9525095",
    "metadata": {},
    "source": [
     "Both report an uncorrected p-value and a Benjamini–Hochberg q-value. With seven\n",
@@ -1342,13 +1342,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "269daf4d",
+   "id": "b28e485d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.441476Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.441377Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.517773Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.517255Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.681751Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.681664Z",
+     "iopub.status.idle": "2026-08-05T21:18:31.752367Z",
+     "shell.execute_reply": "2026-08-05T21:18:31.752025Z"
     }
    },
    "outputs": [
@@ -1386,7 +1386,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dcbd8b5d",
+   "id": "4cf7317d",
    "metadata": {},
    "source": [
     "The bar chart when you want the numbers; the periodic table when you want the\n",
@@ -1396,13 +1396,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "3972ec57",
+   "id": "d25075b3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.518773Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.518650Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.839988Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.839537Z"
+     "iopub.execute_input": "2026-08-05T21:18:31.753076Z",
+     "iopub.status.busy": "2026-08-05T21:18:31.752987Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.049739Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.049358Z"
     }
    },
    "outputs": [
@@ -1432,7 +1432,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dd387227",
+   "id": "6140598a",
    "metadata": {},
    "source": [
     "Aluminium comes out grey rather than dark. Its odds ratio is infinite — it is in\n",
@@ -1455,13 +1455,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "0dc4a53a",
+   "id": "96c895fc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.841130Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.840967Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.850822Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.850430Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.050512Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.050420Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.059208Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.058866Z"
     }
    },
    "outputs": [
@@ -1483,7 +1483,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "43f42af2",
+   "id": "5ef8c9f7",
    "metadata": {},
    "source": [
     "## Is this candidate actually new?\n",
@@ -1495,13 +1495,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "d2fcc380",
+   "id": "d978aab7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.851752Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.851605Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.864079Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.863684Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.059904Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.059813Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.070581Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.070252Z"
     }
    },
    "outputs": [
@@ -1605,13 +1605,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "02bf0306",
+   "id": "1a497eaa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.864886Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.864793Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.977315Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.976851Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.071271Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.071180Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.181043Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.180717Z"
     }
    },
    "outputs": [
@@ -1649,7 +1649,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8b9b5134",
+   "id": "3aada339",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -1684,13 +1684,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "aa4ec4e4",
+   "id": "fb3ad245",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.978327Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.978161Z",
-     "iopub.status.idle": "2026-08-05T00:19:57.986256Z",
-     "shell.execute_reply": "2026-08-05T00:19:57.985845Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.181735Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.181651Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.188785Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.188441Z"
     }
    },
    "outputs": [
@@ -1715,7 +1715,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "77ae251e",
+   "id": "9db55c2b",
    "metadata": {},
    "source": [
     "Anything that reads a *structure* raises, and should — there is none, and\n",
@@ -1731,13 +1731,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "1def9ee0",
+   "id": "6e73b410",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:57.987069Z",
-     "iopub.status.busy": "2026-08-05T00:19:57.986969Z",
-     "iopub.status.idle": "2026-08-05T00:19:58.019656Z",
-     "shell.execute_reply": "2026-08-05T00:19:58.019257Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.189488Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.189399Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.219873Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.219530Z"
     }
    },
    "outputs": [
@@ -1773,7 +1773,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c4032470",
+   "id": "15af62c5",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -1796,13 +1796,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "8269f16b",
+   "id": "44468fd6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:58.020573Z",
-     "iopub.status.busy": "2026-08-05T00:19:58.020477Z",
-     "iopub.status.idle": "2026-08-05T00:19:58.027330Z",
-     "shell.execute_reply": "2026-08-05T00:19:58.026931Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.220566Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.220480Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.226674Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.226349Z"
     }
    },
    "outputs": [
@@ -1829,7 +1829,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0982f4ec",
+   "id": "a216c0bf",
    "metadata": {},
    "source": [
     "**The oxidation-state table is a choice.** The default `'icsd24'` is what has\n",
@@ -1848,13 +1848,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "188d73ea",
+   "id": "b4257bef",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:58.028136Z",
-     "iopub.status.busy": "2026-08-05T00:19:58.028038Z",
-     "iopub.status.idle": "2026-08-05T00:19:58.416667Z",
-     "shell.execute_reply": "2026-08-05T00:19:58.416257Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.227357Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.227270Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.328981Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.328614Z"
     }
    },
    "outputs": [
@@ -1883,7 +1883,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9238f409",
+   "id": "f1c44fae",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -1908,13 +1908,13 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "bf52efc3",
+   "id": "4b8d1a78",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:58.417743Z",
-     "iopub.status.busy": "2026-08-05T00:19:58.417639Z",
-     "iopub.status.idle": "2026-08-05T00:19:58.644247Z",
-     "shell.execute_reply": "2026-08-05T00:19:58.643754Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.342596Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.342422Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.826250Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.825756Z"
     }
    },
    "outputs": [
@@ -1950,7 +1950,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "06cddcfd",
+   "id": "e951560d",
    "metadata": {},
    "source": [
     "Note the other number: **33 of 40 attempts failed outright**, because a random\n",
@@ -1975,13 +1975,13 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "fc15d274",
+   "id": "713e7264",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:58.645138Z",
-     "iopub.status.busy": "2026-08-05T00:19:58.645034Z",
-     "iopub.status.idle": "2026-08-05T00:19:58.772025Z",
-     "shell.execute_reply": "2026-08-05T00:19:58.771621Z"
+     "iopub.execute_input": "2026-08-05T21:18:32.827613Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.827447Z",
+     "iopub.status.idle": "2026-08-05T21:18:32.965190Z",
+     "shell.execute_reply": "2026-08-05T21:18:32.964947Z"
     }
    },
    "outputs": [
@@ -2012,13 +2012,68 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f257080a",
+   "id": "0f4c89ec",
    "metadata": {},
    "source": [
     "It also works on any dataset that has been through `mv.pp.symmetry`, which now\n",
     "records `spacegroup_number` and `spacegroup_symbol` alongside the crystal system\n",
     "and point group — the analyser was already being built, so the group itself cost\n",
-    "nothing to report and is the one label everybody actually cites.\n",
+    "nothing to report and is the one label everybody actually cites."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "63b90d2f",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-08-05T21:18:32.966395Z",
+     "iopub.status.busy": "2026-08-05T21:18:32.966216Z",
+     "iopub.status.idle": "2026-08-05T21:18:34.406828Z",
+     "shell.execute_reply": "2026-08-05T21:18:34.406330Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='space group number', ylabel='materials'>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 376,
+       "width": 538
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "mv.pp.symmetry(md)\n",
+    "mv.pl.spacegroups(md)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ef468e1",
+   "metadata": {},
+   "source": [
+    "On a screening library rather than a generated set, the same plot answers a\n",
+    "different question: how much of the chemical space being searched is cubic, and\n",
+    "whether the search has quietly concentrated on one crystal system. The bars are\n",
+    "grouped by system for exactly that reading.\n",
     "\n",
     "```{seealso}\n",
     "[Beyond one number](beyond_one_number.ipynb) covers the results that are not a\n",
diff --git a/matverse_guide/docs/tutorials/data_io.ipynb b/matverse_guide/docs/tutorials/data_io.ipynb
index c622af8..77dbc07 100644
--- a/matverse_guide/docs/tutorials/data_io.ipynb
+++ b/matverse_guide/docs/tutorials/data_io.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "826d0e07",
+   "id": "5a30ad19",
    "metadata": {},
    "source": [
     "# Getting data in and out\n",
@@ -19,13 +19,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "b5d7c705",
+   "id": "b7b91051",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:01.805306Z",
-     "iopub.status.busy": "2026-08-05T00:30:01.805217Z",
-     "iopub.status.idle": "2026-08-05T00:30:07.541720Z",
-     "shell.execute_reply": "2026-08-05T00:30:07.541209Z"
+     "iopub.execute_input": "2026-08-05T21:36:55.819545Z",
+     "iopub.status.busy": "2026-08-05T21:36:55.819420Z",
+     "iopub.status.idle": "2026-08-05T21:37:04.701314Z",
+     "shell.execute_reply": "2026-08-05T21:37:04.700343Z"
     }
    },
    "outputs": [
@@ -69,7 +69,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d258743",
+   "id": "271efb7f",
    "metadata": {},
    "source": [
     "## From a database, over OPTIMADE\n",
@@ -98,13 +98,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "91fd6cc9",
+   "id": "eb680cf9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:07.543058Z",
-     "iopub.status.busy": "2026-08-05T00:30:07.542638Z",
-     "iopub.status.idle": "2026-08-05T00:30:07.545790Z",
-     "shell.execute_reply": "2026-08-05T00:30:07.545454Z"
+     "iopub.execute_input": "2026-08-05T21:37:04.704335Z",
+     "iopub.status.busy": "2026-08-05T21:37:04.703556Z",
+     "iopub.status.idle": "2026-08-05T21:37:04.708658Z",
+     "shell.execute_reply": "2026-08-05T21:37:04.708232Z"
     }
    },
    "outputs": [
@@ -132,7 +132,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ca6d6ad2",
+   "id": "228369f5",
    "metadata": {},
    "source": [
     "We query [OQMD](https://oqmd.org/) — about 1.4 million entries — for every\n",
@@ -142,13 +142,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "e9500366",
+   "id": "6128e0ef",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:07.546528Z",
-     "iopub.status.busy": "2026-08-05T00:30:07.546437Z",
-     "iopub.status.idle": "2026-08-05T00:30:10.714024Z",
-     "shell.execute_reply": "2026-08-05T00:30:10.713580Z"
+     "iopub.execute_input": "2026-08-05T21:37:04.710127Z",
+     "iopub.status.busy": "2026-08-05T21:37:04.710004Z",
+     "iopub.status.idle": "2026-08-05T21:37:09.337328Z",
+     "shell.execute_reply": "2026-08-05T21:37:09.336849Z"
     }
    },
    "outputs": [
@@ -201,13 +201,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "9418469d",
+   "id": "2e82cc19",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:10.715078Z",
-     "iopub.status.busy": "2026-08-05T00:30:10.714983Z",
-     "iopub.status.idle": "2026-08-05T00:30:10.730536Z",
-     "shell.execute_reply": "2026-08-05T00:30:10.730161Z"
+     "iopub.execute_input": "2026-08-05T21:37:09.338798Z",
+     "iopub.status.busy": "2026-08-05T21:37:09.338671Z",
+     "iopub.status.idle": "2026-08-05T21:37:09.368993Z",
+     "shell.execute_reply": "2026-08-05T21:37:09.368524Z"
     }
    },
    "outputs": [
@@ -395,7 +395,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "23df8367",
+   "id": "d03472b1",
    "metadata": {},
    "source": [
     "Real data, with its real database identifiers in `obs['optimade_id']`, so any\n",
@@ -412,13 +412,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "5d6915dd",
+   "id": "8c767947",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:10.731302Z",
-     "iopub.status.busy": "2026-08-05T00:30:10.731206Z",
-     "iopub.status.idle": "2026-08-05T00:30:11.192333Z",
-     "shell.execute_reply": "2026-08-05T00:30:11.191822Z"
+     "iopub.execute_input": "2026-08-05T21:37:09.370528Z",
+     "iopub.status.busy": "2026-08-05T21:37:09.370392Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.046920Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.046293Z"
     }
    },
    "outputs": [],
@@ -432,13 +432,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "82e46bce",
+   "id": "d2022174",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:11.193356Z",
-     "iopub.status.busy": "2026-08-05T00:30:11.193247Z",
-     "iopub.status.idle": "2026-08-05T00:30:11.195563Z",
-     "shell.execute_reply": "2026-08-05T00:30:11.195234Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.048224Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.048123Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.050393Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.050066Z"
     }
    },
    "outputs": [
@@ -459,7 +459,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a0d0c341",
+   "id": "5349ffeb",
    "metadata": {},
    "source": [
     "### What a real query gives you that a curated one does not\n",
@@ -472,13 +472,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "932a8e32",
+   "id": "905a668c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:11.196267Z",
-     "iopub.status.busy": "2026-08-05T00:30:11.196176Z",
-     "iopub.status.idle": "2026-08-05T00:30:11.513537Z",
-     "shell.execute_reply": "2026-08-05T00:30:11.513137Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.051237Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.051146Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.687210Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.686656Z"
     }
    },
    "outputs": [
@@ -506,7 +506,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4d53734e",
+   "id": "50cd45f5",
    "metadata": {},
    "source": [
     "**Seven of fifteen were duplicates.** That is not a contrived example — it is\n",
@@ -520,13 +520,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "3cc01e76",
+   "id": "0e47cd91",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:11.514367Z",
-     "iopub.status.busy": "2026-08-05T00:30:11.514274Z",
-     "iopub.status.idle": "2026-08-05T00:30:11.520563Z",
-     "shell.execute_reply": "2026-08-05T00:30:11.520177Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.688772Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.688639Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.696272Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.695885Z"
     }
    },
    "outputs": [
@@ -713,7 +713,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "896ddb55",
+   "id": "80b15526",
    "metadata": {},
    "source": [
     "### Cached, so the second call is free\n",
@@ -724,13 +724,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "e48d0d0e",
+   "id": "64c272a8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:11.521338Z",
-     "iopub.status.busy": "2026-08-05T00:30:11.521246Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.641978Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.641566Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.697539Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.697367Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.773034Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.772493Z"
     }
    },
    "outputs": [
@@ -860,13 +860,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "e40ebbbe",
+   "id": "233d84ce",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.642876Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.642780Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.645284Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.644955Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.774111Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.773983Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.776890Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.776499Z"
     }
    },
    "outputs": [
@@ -891,13 +891,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "49a819e8",
+   "id": "1c86c431",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.645988Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.645900Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.647882Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.647567Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.778033Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.777918Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.780376Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.779972Z"
     }
    },
    "outputs": [
@@ -918,7 +918,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "50028a92",
+   "id": "f8111ee5",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -949,13 +949,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "75b116ed",
+   "id": "ed128b6b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.648572Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.648485Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.658683Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.658310Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.781449Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.781344Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.805966Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.805469Z"
     }
    },
    "outputs": [
@@ -1026,7 +1026,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0dfe1f28",
+   "id": "7a90afbf",
    "metadata": {},
    "source": [
     "## From structures you already have"
@@ -1035,13 +1035,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "da79d467",
+   "id": "d262c580",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.659897Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.659774Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.668157Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.667769Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.807254Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.807120Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.815983Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.815602Z"
     }
    },
    "outputs": [
@@ -1114,7 +1114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fb727816",
+   "id": "9c04f103",
    "metadata": {},
    "source": [
     "Pass a DataFrame and it becomes `obs`, aligned by position.\n",
@@ -1128,13 +1128,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "45d77811",
+   "id": "52b91ec6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.669001Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.668912Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.675805Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.675430Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.817227Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.817053Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.837030Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.836510Z"
     }
    },
    "outputs": [
@@ -1163,7 +1163,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8bf3516d",
+   "id": "e4c35b73",
    "metadata": {},
    "source": [
     "## From ASE\n",
@@ -1175,13 +1175,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "ebc44481",
+   "id": "d726152a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.676620Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.676527Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.694209Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.693845Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.838061Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.837938Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.868036Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.867525Z"
     }
    },
    "outputs": [
@@ -1250,7 +1250,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4cae1301",
+   "id": "f8166cc3",
    "metadata": {},
    "source": [
     "### From a trajectory or structure file\n",
@@ -1263,13 +1263,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "8b923e4b",
+   "id": "c77f59cf",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.695082Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.694993Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.713159Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.712769Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.869372Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.869235Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.901959Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.901514Z"
     }
    },
    "outputs": [
@@ -1352,7 +1352,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a7b34d4b",
+   "id": "2b79d177",
    "metadata": {},
    "source": [
     "## CIFs, out and back\n",
@@ -1363,13 +1363,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "e920979d",
+   "id": "2982bde5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.713956Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.713863Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.735307Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.734914Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.903252Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.903055Z",
+     "iopub.status.idle": "2026-08-05T21:37:10.951999Z",
+     "shell.execute_reply": "2026-08-05T21:37:10.951512Z"
     }
    },
    "outputs": [
@@ -1392,13 +1392,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "72828226",
+   "id": "a9f87547",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.736339Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.736249Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.767364Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.767003Z"
+     "iopub.execute_input": "2026-08-05T21:37:10.953395Z",
+     "iopub.status.busy": "2026-08-05T21:37:10.953265Z",
+     "iopub.status.idle": "2026-08-05T21:37:11.023006Z",
+     "shell.execute_reply": "2026-08-05T21:37:11.022299Z"
     }
    },
    "outputs": [
@@ -1485,7 +1485,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f71c9bec",
+   "id": "1578d3ce",
    "metadata": {},
    "source": [
     "Out and back with the formulas intact. `to_cif` names each file from its row,\n",
@@ -1497,13 +1497,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "13a68746",
+   "id": "9f8d320c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.768179Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.768086Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.770934Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.770589Z"
+     "iopub.execute_input": "2026-08-05T21:37:11.024308Z",
+     "iopub.status.busy": "2026-08-05T21:37:11.024161Z",
+     "iopub.status.idle": "2026-08-05T21:37:11.027645Z",
+     "shell.execute_reply": "2026-08-05T21:37:11.027237Z"
     }
    },
    "outputs": [
@@ -1527,13 +1527,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "7f070c5f",
+   "id": "a71ed570",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.771684Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.771595Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.774021Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.773684Z"
+     "iopub.execute_input": "2026-08-05T21:37:11.028890Z",
+     "iopub.status.busy": "2026-08-05T21:37:11.028769Z",
+     "iopub.status.idle": "2026-08-05T21:37:11.031591Z",
+     "shell.execute_reply": "2026-08-05T21:37:11.031263Z"
     }
    },
    "outputs": [
@@ -1555,7 +1555,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "322ebba0",
+   "id": "04774071",
    "metadata": {},
    "source": [
     "And the object itself is an ordinary `AnnData`, so `write_h5ad` is the archive\n",
@@ -1572,13 +1572,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "fd3f56ad",
+   "id": "c29cb0b8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.774751Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.774667Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.780187Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.779824Z"
+     "iopub.execute_input": "2026-08-05T21:37:11.032473Z",
+     "iopub.status.busy": "2026-08-05T21:37:11.032363Z",
+     "iopub.status.idle": "2026-08-05T21:37:11.038643Z",
+     "shell.execute_reply": "2026-08-05T21:37:11.038272Z"
     }
    },
    "outputs": [
@@ -1611,13 +1611,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "9ae6e6e2",
+   "id": "81ad24e9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.780916Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.780825Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.787312Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.786908Z"
+     "iopub.execute_input": "2026-08-05T21:37:11.039548Z",
+     "iopub.status.busy": "2026-08-05T21:37:11.039383Z",
+     "iopub.status.idle": "2026-08-05T21:37:11.058927Z",
+     "shell.execute_reply": "2026-08-05T21:37:11.058492Z"
     }
    },
    "outputs": [
@@ -1645,13 +1645,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "b69a3fb5",
+   "id": "4482e0c2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.788065Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.787976Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.790921Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.790575Z"
+     "iopub.execute_input": "2026-08-05T21:37:11.059863Z",
+     "iopub.status.busy": "2026-08-05T21:37:11.059737Z",
+     "iopub.status.idle": "2026-08-05T21:37:11.062745Z",
+     "shell.execute_reply": "2026-08-05T21:37:11.062404Z"
     }
    },
    "outputs": [
@@ -1673,7 +1673,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "46a61a27",
+   "id": "f26072b5",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -1688,13 +1688,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "a9f694c2",
+   "id": "e1d0a602",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:14.791627Z",
-     "iopub.status.busy": "2026-08-05T00:30:14.791536Z",
-     "iopub.status.idle": "2026-08-05T00:30:14.793428Z",
-     "shell.execute_reply": "2026-08-05T00:30:14.793082Z"
+     "iopub.execute_input": "2026-08-05T21:37:11.063625Z",
+     "iopub.status.busy": "2026-08-05T21:37:11.063513Z",
+     "iopub.status.idle": "2026-08-05T21:37:11.065694Z",
+     "shell.execute_reply": "2026-08-05T21:37:11.065375Z"
     }
    },
    "outputs": [
@@ -1721,7 +1721,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "099eaa4b",
+   "id": "f09c355a",
    "metadata": {},
    "source": [
     "```{seealso}\n",
diff --git a/matverse_guide/docs/tutorials/defects_and_diffusion.ipynb b/matverse_guide/docs/tutorials/defects_and_diffusion.ipynb
index 5f0a2ea..f032790 100644
--- a/matverse_guide/docs/tutorials/defects_and_diffusion.ipynb
+++ b/matverse_guide/docs/tutorials/defects_and_diffusion.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "2e1270d7",
+   "id": "3098ddf3",
    "metadata": {},
    "source": [
     "# Defects and diffusion\n",
@@ -25,13 +25,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "e12099d5",
+   "id": "ef78fb4d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:28.362802Z",
-     "iopub.status.busy": "2026-08-05T00:20:28.362710Z",
-     "iopub.status.idle": "2026-08-05T00:20:34.220972Z",
-     "shell.execute_reply": "2026-08-05T00:20:34.220193Z"
+     "iopub.execute_input": "2026-08-05T21:19:02.781723Z",
+     "iopub.status.busy": "2026-08-05T21:19:02.781639Z",
+     "iopub.status.idle": "2026-08-05T21:19:08.320883Z",
+     "shell.execute_reply": "2026-08-05T21:19:08.320399Z"
     }
    },
    "outputs": [
@@ -75,7 +75,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "273993e7",
+   "id": "353f2f22",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -103,13 +103,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "d109013d",
+   "id": "eda5d9b6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:34.222701Z",
-     "iopub.status.busy": "2026-08-05T00:20:34.222209Z",
-     "iopub.status.idle": "2026-08-05T00:20:34.238823Z",
-     "shell.execute_reply": "2026-08-05T00:20:34.238409Z"
+     "iopub.execute_input": "2026-08-05T21:19:08.322227Z",
+     "iopub.status.busy": "2026-08-05T21:19:08.321832Z",
+     "iopub.status.idle": "2026-08-05T21:19:08.336770Z",
+     "shell.execute_reply": "2026-08-05T21:19:08.336397Z"
     }
    },
    "outputs": [
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "70ef1f3f",
+   "id": "7e0e5045",
    "metadata": {},
    "source": [
     "### Two ways to deform a cell before you break it\n",
@@ -185,13 +185,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "3cb0a4ae",
+   "id": "99e7da17",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:34.239924Z",
-     "iopub.status.busy": "2026-08-05T00:20:34.239820Z",
-     "iopub.status.idle": "2026-08-05T00:20:34.245753Z",
-     "shell.execute_reply": "2026-08-05T00:20:34.245337Z"
+     "iopub.execute_input": "2026-08-05T21:19:08.337665Z",
+     "iopub.status.busy": "2026-08-05T21:19:08.337511Z",
+     "iopub.status.idle": "2026-08-05T21:19:08.342802Z",
+     "shell.execute_reply": "2026-08-05T21:19:08.342442Z"
     }
    },
    "outputs": [
@@ -216,13 +216,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "1847413c",
+   "id": "a8346819",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:34.246632Z",
-     "iopub.status.busy": "2026-08-05T00:20:34.246533Z",
-     "iopub.status.idle": "2026-08-05T00:20:34.249845Z",
-     "shell.execute_reply": "2026-08-05T00:20:34.249483Z"
+     "iopub.execute_input": "2026-08-05T21:19:08.343625Z",
+     "iopub.status.busy": "2026-08-05T21:19:08.343453Z",
+     "iopub.status.idle": "2026-08-05T21:19:08.346625Z",
+     "shell.execute_reply": "2026-08-05T21:19:08.346303Z"
     }
    },
    "outputs": [
@@ -243,7 +243,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "236e349d",
+   "id": "52fa37fc",
    "metadata": {},
    "source": [
     "## Enumerating the defects\n",
@@ -257,13 +257,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "a1bed421",
+   "id": "a2b30abd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:34.250710Z",
-     "iopub.status.busy": "2026-08-05T00:20:34.250618Z",
-     "iopub.status.idle": "2026-08-05T00:20:34.270845Z",
-     "shell.execute_reply": "2026-08-05T00:20:34.270440Z"
+     "iopub.execute_input": "2026-08-05T21:19:08.347339Z",
+     "iopub.status.busy": "2026-08-05T21:19:08.347253Z",
+     "iopub.status.idle": "2026-08-05T21:19:08.367166Z",
+     "shell.execute_reply": "2026-08-05T21:19:08.366790Z"
     }
    },
    "outputs": [
@@ -327,7 +327,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f6508baf",
+   "id": "505436f2",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -348,13 +348,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "b7fbaad6",
+   "id": "0c90f442",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:34.271786Z",
-     "iopub.status.busy": "2026-08-05T00:20:34.271684Z",
-     "iopub.status.idle": "2026-08-05T00:20:34.321215Z",
-     "shell.execute_reply": "2026-08-05T00:20:34.320732Z"
+     "iopub.execute_input": "2026-08-05T21:19:08.367979Z",
+     "iopub.status.busy": "2026-08-05T21:19:08.367887Z",
+     "iopub.status.idle": "2026-08-05T21:19:08.415366Z",
+     "shell.execute_reply": "2026-08-05T21:19:08.414875Z"
     }
    },
    "outputs": [
@@ -414,7 +414,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c151737",
+   "id": "faebf88a",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -433,7 +433,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4b35e81a",
+   "id": "26680a0e",
    "metadata": {},
    "source": [
     "### Two kinds that are not a site you already have\n",
@@ -451,13 +451,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "40773b7e",
+   "id": "47478c83",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:34.322223Z",
-     "iopub.status.busy": "2026-08-05T00:20:34.322126Z",
-     "iopub.status.idle": "2026-08-05T00:20:36.357428Z",
-     "shell.execute_reply": "2026-08-05T00:20:36.356952Z"
+     "iopub.execute_input": "2026-08-05T21:19:08.416203Z",
+     "iopub.status.busy": "2026-08-05T21:19:08.416112Z",
+     "iopub.status.idle": "2026-08-05T21:19:10.461578Z",
+     "shell.execute_reply": "2026-08-05T21:19:10.461152Z"
     }
    },
    "outputs": [
@@ -492,43 +492,43 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>antisite</td>\n",
-       "      <td>P</td>\n",
+       "      <td>O</td>\n",
        "      <td>Fe</td>\n",
        "      <td>168</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>antisite</td>\n",
-       "      <td>P</td>\n",
-       "      <td>Li</td>\n",
+       "      <td>O</td>\n",
+       "      <td>Fe</td>\n",
        "      <td>168</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>antisite</td>\n",
-       "      <td>P</td>\n",
        "      <td>O</td>\n",
+       "      <td>Fe</td>\n",
        "      <td>168</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>antisite</td>\n",
+       "      <td>O</td>\n",
        "      <td>Fe</td>\n",
-       "      <td>P</td>\n",
        "      <td>168</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>antisite</td>\n",
-       "      <td>Fe</td>\n",
-       "      <td>Li</td>\n",
+       "      <td>O</td>\n",
+       "      <td>P</td>\n",
        "      <td>168</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>antisite</td>\n",
-       "      <td>Fe</td>\n",
        "      <td>O</td>\n",
+       "      <td>P</td>\n",
        "      <td>168</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -537,12 +537,12 @@
       ],
       "text/plain": [
        "     defect removed added  nsites\n",
-       "0  antisite       P    Fe     168\n",
-       "1  antisite       P    Li     168\n",
-       "2  antisite       P     O     168\n",
-       "3  antisite      Fe     P     168\n",
-       "4  antisite      Fe    Li     168\n",
-       "5  antisite      Fe     O     168"
+       "0  antisite       O    Fe     168\n",
+       "1  antisite       O    Fe     168\n",
+       "2  antisite       O    Fe     168\n",
+       "3  antisite       O    Fe     168\n",
+       "4  antisite       O     P     168\n",
+       "5  antisite       O     P     168"
       ]
      },
      "execution_count": 7,
@@ -561,7 +561,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "69ad9019",
+   "id": "7686651a",
    "metadata": {},
    "source": [
     "Twenty-four antisites from a four-species cathode, each an ordered swap — Fe on\n",
@@ -574,13 +574,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "19a31d1e",
+   "id": "bbf6af0a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:36.358549Z",
-     "iopub.status.busy": "2026-08-05T00:20:36.358434Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.545552Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.544950Z"
+     "iopub.execute_input": "2026-08-05T21:19:10.462651Z",
+     "iopub.status.busy": "2026-08-05T21:19:10.462482Z",
+     "iopub.status.idle": "2026-08-05T21:19:19.767489Z",
+     "shell.execute_reply": "2026-08-05T21:19:19.766996Z"
     }
    },
    "outputs": [
@@ -661,7 +661,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30e4484d",
+   "id": "4937a048",
    "metadata": {},
    "source": [
     "One more atom than the host supercell, which is what an interstitial is.\n",
@@ -676,7 +676,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "60a0a4fa",
+   "id": "d4c190a3",
    "metadata": {},
    "source": [
     "The raw energy of a cell with one atom missing is not a formation energy. A\n",
@@ -692,13 +692,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "98f4115f",
+   "id": "2f67a00a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.547082Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.546964Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.577170Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.576729Z"
+     "iopub.execute_input": "2026-08-05T21:19:19.768582Z",
+     "iopub.status.busy": "2026-08-05T21:19:19.768474Z",
+     "iopub.status.idle": "2026-08-05T21:19:19.798352Z",
+     "shell.execute_reply": "2026-08-05T21:19:19.797964Z"
     }
    },
    "outputs": [
@@ -719,7 +719,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8c48d203",
+   "id": "5056ef34",
    "metadata": {},
    "source": [
     "An elemental solid has no window — copper in equilibrium with copper fixes its\n",
@@ -731,13 +731,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "32b7c4ff",
+   "id": "93212a7a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.578087Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.577990Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.581122Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.580689Z"
+     "iopub.execute_input": "2026-08-05T21:19:19.799139Z",
+     "iopub.status.busy": "2026-08-05T21:19:19.799048Z",
+     "iopub.status.idle": "2026-08-05T21:19:19.801980Z",
+     "shell.execute_reply": "2026-08-05T21:19:19.801646Z"
     }
    },
    "outputs": [
@@ -764,7 +764,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1ca584a3",
+   "id": "c19c3311",
    "metadata": {},
    "source": [
     "**1.314 eV**, against roughly 1.3 eV measured for copper by positron\n",
@@ -789,13 +789,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "f0ac80f2",
+   "id": "dda512b1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.581928Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.581835Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.585918Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.585544Z"
+     "iopub.execute_input": "2026-08-05T21:19:19.802670Z",
+     "iopub.status.busy": "2026-08-05T21:19:19.802582Z",
+     "iopub.status.idle": "2026-08-05T21:19:19.806102Z",
+     "shell.execute_reply": "2026-08-05T21:19:19.805796Z"
     }
    },
    "outputs": [
@@ -822,13 +822,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "9eb0f4eb",
+   "id": "a29c899e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.586730Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.586635Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.714825Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.714416Z"
+     "iopub.execute_input": "2026-08-05T21:19:19.806795Z",
+     "iopub.status.busy": "2026-08-05T21:19:19.806713Z",
+     "iopub.status.idle": "2026-08-05T21:19:19.936829Z",
+     "shell.execute_reply": "2026-08-05T21:19:19.936393Z"
     }
    },
    "outputs": [
@@ -872,13 +872,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "f199906e",
+   "id": "7b5b62d3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.715855Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.715753Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.720726Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.720315Z"
+     "iopub.execute_input": "2026-08-05T21:19:19.937696Z",
+     "iopub.status.busy": "2026-08-05T21:19:19.937589Z",
+     "iopub.status.idle": "2026-08-05T21:19:19.942065Z",
+     "shell.execute_reply": "2026-08-05T21:19:19.941737Z"
     }
    },
    "outputs": [
@@ -936,7 +936,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "923006c3",
+   "id": "6ddf45f2",
    "metadata": {},
    "source": [
     "Each straight segment is one charge state, and its slope is the charge; the\n",
@@ -961,7 +961,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dc1e702f",
+   "id": "25873d61",
    "metadata": {},
    "source": [
     "### The charged states are lying, and by how much\n",
@@ -979,13 +979,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "e6a1d8bf",
+   "id": "178c1d05",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.721620Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.721526Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.801945Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.801472Z"
+     "iopub.execute_input": "2026-08-05T21:19:19.942771Z",
+     "iopub.status.busy": "2026-08-05T21:19:19.942685Z",
+     "iopub.status.idle": "2026-08-05T21:19:20.023237Z",
+     "shell.execute_reply": "2026-08-05T21:19:20.022862Z"
     }
    },
    "outputs": [
@@ -1022,7 +1022,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10f643b4",
+   "id": "c261cfc5",
    "metadata": {},
    "source": [
     "Zero shift at the valence band maximum and a growing one across the gap, which\n",
@@ -1069,7 +1069,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed5d6e04",
+   "id": "f6ccf5c6",
    "metadata": {},
    "source": [
     "## What it costs to move\n",
@@ -1084,13 +1084,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "2ea89436",
+   "id": "435baa1a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.802928Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.802827Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.811862Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.811443Z"
+     "iopub.execute_input": "2026-08-05T21:19:20.023979Z",
+     "iopub.status.busy": "2026-08-05T21:19:20.023886Z",
+     "iopub.status.idle": "2026-08-05T21:19:20.031981Z",
+     "shell.execute_reply": "2026-08-05T21:19:20.031661Z"
     }
    },
    "outputs": [
@@ -1147,7 +1147,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c426be44",
+   "id": "def45be2",
    "metadata": {},
    "source": [
     "2.556 Å is the nearest-neighbour distance in copper, `a/√2`, which is what a\n",
@@ -1171,13 +1171,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "bc34470f",
+   "id": "61d8e7ce",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.812735Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.812640Z",
-     "iopub.status.idle": "2026-08-05T00:20:45.848008Z",
-     "shell.execute_reply": "2026-08-05T00:20:45.847597Z"
+     "iopub.execute_input": "2026-08-05T21:19:20.032659Z",
+     "iopub.status.busy": "2026-08-05T21:19:20.032575Z",
+     "iopub.status.idle": "2026-08-05T21:19:20.066956Z",
+     "shell.execute_reply": "2026-08-05T21:19:20.066622Z"
     }
    },
    "outputs": [
@@ -1210,7 +1210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "63395e03",
+   "id": "b6791dac",
    "metadata": {},
    "source": [
     "`key_added` matters here. Without it the second relaxation would overwrite the\n",
@@ -1226,13 +1226,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "6296de87",
+   "id": "c1c9a6cd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:45.848932Z",
-     "iopub.status.busy": "2026-08-05T00:20:45.848838Z",
-     "iopub.status.idle": "2026-08-05T00:20:46.831427Z",
-     "shell.execute_reply": "2026-08-05T00:20:46.830863Z"
+     "iopub.execute_input": "2026-08-05T21:19:20.067632Z",
+     "iopub.status.busy": "2026-08-05T21:19:20.067549Z",
+     "iopub.status.idle": "2026-08-05T21:19:21.033062Z",
+     "shell.execute_reply": "2026-08-05T21:19:21.032588Z"
     }
    },
    "outputs": [
@@ -1295,7 +1295,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ec59a0e5",
+   "id": "8b83343f",
    "metadata": {},
    "source": [
     "**0.754 eV against a literature value of about 0.70 eV.** For a potential that\n",
@@ -1318,13 +1318,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "eec38114",
+   "id": "bcbbf1bd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:46.832684Z",
-     "iopub.status.busy": "2026-08-05T00:20:46.832585Z",
-     "iopub.status.idle": "2026-08-05T00:20:46.960013Z",
-     "shell.execute_reply": "2026-08-05T00:20:46.959522Z"
+     "iopub.execute_input": "2026-08-05T21:19:21.034003Z",
+     "iopub.status.busy": "2026-08-05T21:19:21.033900Z",
+     "iopub.status.idle": "2026-08-05T21:19:21.158035Z",
+     "shell.execute_reply": "2026-08-05T21:19:21.157664Z"
     }
    },
    "outputs": [
@@ -1362,7 +1362,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e4df29e5",
+   "id": "ddad1c31",
    "metadata": {},
    "source": [
     "The path rises to a single saddle and comes back down, which is what a\n",
@@ -1386,13 +1386,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "f56bc411",
+   "id": "1d3dce91",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:46.961020Z",
-     "iopub.status.busy": "2026-08-05T00:20:46.960918Z",
-     "iopub.status.idle": "2026-08-05T00:20:46.967143Z",
-     "shell.execute_reply": "2026-08-05T00:20:46.966674Z"
+     "iopub.execute_input": "2026-08-05T21:19:21.158847Z",
+     "iopub.status.busy": "2026-08-05T21:19:21.158752Z",
+     "iopub.status.idle": "2026-08-05T21:19:21.164314Z",
+     "shell.execute_reply": "2026-08-05T21:19:21.163977Z"
     }
    },
    "outputs": [
@@ -1487,13 +1487,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "a06ee020",
+   "id": "08f12a58",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:46.968030Z",
-     "iopub.status.busy": "2026-08-05T00:20:46.967934Z",
-     "iopub.status.idle": "2026-08-05T00:20:47.188588Z",
-     "shell.execute_reply": "2026-08-05T00:20:47.188081Z"
+     "iopub.execute_input": "2026-08-05T21:19:21.164998Z",
+     "iopub.status.busy": "2026-08-05T21:19:21.164913Z",
+     "iopub.status.idle": "2026-08-05T21:19:21.375830Z",
+     "shell.execute_reply": "2026-08-05T21:19:21.375434Z"
     }
    },
    "outputs": [
@@ -1533,7 +1533,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a51a78a7",
+   "id": "d8e14e9c",
    "metadata": {},
    "source": [
     "A straight line on this plot is the definition of Arrhenius behaviour, and its\n",
@@ -1553,7 +1553,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e2fda47d",
+   "id": "b894e8df",
    "metadata": {},
    "source": [
     "## Which barriers are actually worth computing?\n",
@@ -1569,13 +1569,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "48ed59f6",
+   "id": "fd2603ef",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:47.189626Z",
-     "iopub.status.busy": "2026-08-05T00:20:47.189523Z",
-     "iopub.status.idle": "2026-08-05T00:20:47.540613Z",
-     "shell.execute_reply": "2026-08-05T00:20:47.540132Z"
+     "iopub.execute_input": "2026-08-05T21:19:21.376693Z",
+     "iopub.status.busy": "2026-08-05T21:19:21.376595Z",
+     "iopub.status.idle": "2026-08-05T21:19:21.719053Z",
+     "shell.execute_reply": "2026-08-05T21:19:21.718662Z"
     }
    },
    "outputs": [
@@ -1649,7 +1649,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6983ff7c",
+   "id": "c459780f",
    "metadata": {},
    "source": [
     "One hop each. Close-packed lithium has twelve neighbours and they are all the\n",
@@ -1665,13 +1665,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "d57cb37a",
+   "id": "373c3fe4",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:47.541844Z",
-     "iopub.status.busy": "2026-08-05T00:20:47.541741Z",
-     "iopub.status.idle": "2026-08-05T00:20:47.555373Z",
-     "shell.execute_reply": "2026-08-05T00:20:47.554953Z"
+     "iopub.execute_input": "2026-08-05T21:19:21.719861Z",
+     "iopub.status.busy": "2026-08-05T21:19:21.719769Z",
+     "iopub.status.idle": "2026-08-05T21:19:21.732959Z",
+     "shell.execute_reply": "2026-08-05T21:19:21.732622Z"
     }
    },
    "outputs": [
@@ -1737,7 +1737,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b61c6da5",
+   "id": "3b3a1a25",
    "metadata": {},
    "source": [
     "Stretching *c* separates the twelve neighbours into four in the basal plane at\n",
@@ -1762,7 +1762,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ba201b8f",
+   "id": "971dbb17",
    "metadata": {},
    "source": [
     "## Before the barrier: can the ion get out at all?\n",
@@ -1786,13 +1786,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "e3931cc4",
+   "id": "034dd91d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:47.556365Z",
-     "iopub.status.busy": "2026-08-05T00:20:47.556265Z",
-     "iopub.status.idle": "2026-08-05T00:20:47.896956Z",
-     "shell.execute_reply": "2026-08-05T00:20:47.896511Z"
+     "iopub.execute_input": "2026-08-05T21:19:21.733665Z",
+     "iopub.status.busy": "2026-08-05T21:19:21.733578Z",
+     "iopub.status.idle": "2026-08-05T21:19:22.075297Z",
+     "shell.execute_reply": "2026-08-05T21:19:22.074880Z"
     }
    },
    "outputs": [
@@ -1883,7 +1883,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f6350dd4",
+   "id": "47d3ddfb",
    "metadata": {},
    "source": [
     "**3 against 2**, which is the textbook difference between the two: spinel\n",
@@ -1903,13 +1903,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "a13a2236",
+   "id": "a9a589a3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:47.898157Z",
-     "iopub.status.busy": "2026-08-05T00:20:47.898054Z",
-     "iopub.status.idle": "2026-08-05T00:20:48.013904Z",
-     "shell.execute_reply": "2026-08-05T00:20:48.013408Z"
+     "iopub.execute_input": "2026-08-05T21:19:22.076111Z",
+     "iopub.status.busy": "2026-08-05T21:19:22.076020Z",
+     "iopub.status.idle": "2026-08-05T21:19:22.190307Z",
+     "shell.execute_reply": "2026-08-05T21:19:22.189950Z"
     }
    },
    "outputs": [
@@ -1992,7 +1992,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2e26e67e",
+   "id": "09e2771b",
    "metadata": {},
    "source": [
     "Allow a 5 Å hop and the layered oxide becomes three-dimensional too, because\n",
@@ -2010,7 +2010,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e6577208",
+   "id": "0af83e52",
    "metadata": {},
    "source": [
     "## Handing the hop to DFT\n",
@@ -2024,13 +2024,13 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "f123dbdc",
+   "id": "5e801a19",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:48.014845Z",
-     "iopub.status.busy": "2026-08-05T00:20:48.014748Z",
-     "iopub.status.idle": "2026-08-05T00:20:48.034190Z",
-     "shell.execute_reply": "2026-08-05T00:20:48.033696Z"
+     "iopub.execute_input": "2026-08-05T21:19:22.191057Z",
+     "iopub.status.busy": "2026-08-05T21:19:22.190967Z",
+     "iopub.status.idle": "2026-08-05T21:19:22.205561Z",
+     "shell.execute_reply": "2026-08-05T21:19:22.205201Z"
     }
    },
    "outputs": [
@@ -2059,7 +2059,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e62c3d36",
+   "id": "e8ff1524",
    "metadata": {},
    "source": [
     "Two of those settings are the reason to use a preset rather than write the file\n",
@@ -2076,7 +2076,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d5f63655",
+   "id": "83ac5eef",
    "metadata": {},
    "source": [
     "## Finding a defect somebody else made\n",
@@ -2093,13 +2093,13 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "f9a42423",
+   "id": "c751951c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:48.035075Z",
-     "iopub.status.busy": "2026-08-05T00:20:48.034978Z",
-     "iopub.status.idle": "2026-08-05T00:20:48.050124Z",
-     "shell.execute_reply": "2026-08-05T00:20:48.049673Z"
+     "iopub.execute_input": "2026-08-05T21:19:22.206330Z",
+     "iopub.status.busy": "2026-08-05T21:19:22.206178Z",
+     "iopub.status.idle": "2026-08-05T21:19:22.221006Z",
+     "shell.execute_reply": "2026-08-05T21:19:22.220663Z"
     }
    },
    "outputs": [
@@ -2142,7 +2142,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "58cb2fe6",
+   "id": "73adc817",
    "metadata": {},
    "source": [
     "The vacancy comes back at the coordinates it was made at, from a cell whose\n",
@@ -2164,7 +2164,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4a61b320",
+   "id": "12d533cd",
    "metadata": {},
    "source": [
     "## The curve a charge state leaves behind\n",
@@ -2182,13 +2182,13 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "8fbccdd9",
+   "id": "7f9d420b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:48.051006Z",
-     "iopub.status.busy": "2026-08-05T00:20:48.050903Z",
-     "iopub.status.idle": "2026-08-05T00:20:48.059126Z",
-     "shell.execute_reply": "2026-08-05T00:20:48.058699Z"
+     "iopub.execute_input": "2026-08-05T21:19:22.221715Z",
+     "iopub.status.busy": "2026-08-05T21:19:22.221631Z",
+     "iopub.status.idle": "2026-08-05T21:19:22.229156Z",
+     "shell.execute_reply": "2026-08-05T21:19:22.228849Z"
     }
    },
    "outputs": [
@@ -2228,7 +2228,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "57bdcb2c",
+   "id": "21835963",
    "metadata": {},
    "source": [
     "The frequency is $\\hbar\\sqrt{c}$ with the mass-weighted units carried\n",
@@ -2254,7 +2254,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "593b570e",
+   "id": "d6c01d40",
    "metadata": {},
    "source": [
     "## Is it a killer?\n",
@@ -2271,13 +2271,13 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "a8198b95",
+   "id": "1250d074",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:48.059970Z",
-     "iopub.status.busy": "2026-08-05T00:20:48.059878Z",
-     "iopub.status.idle": "2026-08-05T00:20:49.770934Z",
-     "shell.execute_reply": "2026-08-05T00:20:49.770410Z"
+     "iopub.execute_input": "2026-08-05T21:19:22.229839Z",
+     "iopub.status.busy": "2026-08-05T21:19:22.229756Z",
+     "iopub.status.idle": "2026-08-05T21:19:23.943749Z",
+     "shell.execute_reply": "2026-08-05T21:19:23.943260Z"
     }
    },
    "outputs": [
@@ -2348,7 +2348,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d9829960",
+   "id": "ec4b580c",
    "metadata": {},
    "source": [
     "Doubling the electron–phonon matrix element multiplies the capture rate by\n",
@@ -2362,13 +2362,13 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "id": "d5e368d1",
+   "id": "5f1cb8b2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:49.772005Z",
-     "iopub.status.busy": "2026-08-05T00:20:49.771905Z",
-     "iopub.status.idle": "2026-08-05T00:20:55.141794Z",
-     "shell.execute_reply": "2026-08-05T00:20:55.141084Z"
+     "iopub.execute_input": "2026-08-05T21:19:23.944798Z",
+     "iopub.status.busy": "2026-08-05T21:19:23.944640Z",
+     "iopub.status.idle": "2026-08-05T21:19:29.342153Z",
+     "shell.execute_reply": "2026-08-05T21:19:29.341623Z"
     }
    },
    "outputs": [
@@ -2433,7 +2433,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ae4dc0e7",
+   "id": "daf9f3ac",
    "metadata": {},
    "source": [
     "Orders of magnitude across a few hundred kelvin, which is why a capture\n",
@@ -2457,7 +2457,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8ea5fe78",
+   "id": "f0aea9d1",
    "metadata": {},
    "source": [
     "## What the object remembers"
@@ -2466,13 +2466,13 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "id": "f897b4fe",
+   "id": "96033c73",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:55.143252Z",
-     "iopub.status.busy": "2026-08-05T00:20:55.143129Z",
-     "iopub.status.idle": "2026-08-05T00:20:55.145758Z",
-     "shell.execute_reply": "2026-08-05T00:20:55.145297Z"
+     "iopub.execute_input": "2026-08-05T21:19:29.343215Z",
+     "iopub.status.busy": "2026-08-05T21:19:29.343107Z",
+     "iopub.status.idle": "2026-08-05T21:19:29.345331Z",
+     "shell.execute_reply": "2026-08-05T21:19:29.344996Z"
     }
    },
    "outputs": [
@@ -2501,7 +2501,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4943a396",
+   "id": "a68ed469",
    "metadata": {},
    "source": [
     "```{seealso}\n",
diff --git a/matverse_guide/docs/tutorials/disorder.ipynb b/matverse_guide/docs/tutorials/disorder.ipynb
index aedcd30..50794d7 100644
--- a/matverse_guide/docs/tutorials/disorder.ipynb
+++ b/matverse_guide/docs/tutorials/disorder.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "03d172fe",
+   "id": "20f7a31d",
    "metadata": {},
    "source": [
     "# Disorder\n",
@@ -24,13 +24,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "6cf4f9a7",
+   "id": "17e7e64c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:52.178097Z",
-     "iopub.status.busy": "2026-08-05T00:28:52.178024Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.031398Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.030909Z"
+     "iopub.execute_input": "2026-08-05T21:35:32.234301Z",
+     "iopub.status.busy": "2026-08-05T21:35:32.234214Z",
+     "iopub.status.idle": "2026-08-05T21:35:37.477412Z",
+     "shell.execute_reply": "2026-08-05T21:35:37.476974Z"
     }
    },
    "outputs": [
@@ -74,7 +74,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "574c25a4",
+   "id": "f785fb15",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -103,13 +103,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "1f0f8537",
+   "id": "cc691037",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.032939Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.032537Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.054524Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.054090Z"
+     "iopub.execute_input": "2026-08-05T21:35:37.479152Z",
+     "iopub.status.busy": "2026-08-05T21:35:37.478647Z",
+     "iopub.status.idle": "2026-08-05T21:35:37.500448Z",
+     "shell.execute_reply": "2026-08-05T21:35:37.500106Z"
     }
    },
    "outputs": [
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b0469fad",
+   "id": "b698674d",
    "metadata": {},
    "source": [
     "Note that `mv.pp.describe` reports a formula for all three — a disordered cell\n",
@@ -208,13 +208,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "a066b228",
+   "id": "6b9facb7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.055487Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.055368Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.062098Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.061695Z"
+     "iopub.execute_input": "2026-08-05T21:35:37.501374Z",
+     "iopub.status.busy": "2026-08-05T21:35:37.501280Z",
+     "iopub.status.idle": "2026-08-05T21:35:37.507374Z",
+     "shell.execute_reply": "2026-08-05T21:35:37.507041Z"
     }
    },
    "outputs": [
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c215d1d",
+   "id": "e2394e38",
    "metadata": {},
    "source": [
     "`max_site_disorder` is how far the worst site is from having a single owner:\n",
@@ -322,13 +322,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "3e346e3a",
+   "id": "b32498a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.062937Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.062841Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.067684Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.067209Z"
+     "iopub.execute_input": "2026-08-05T21:35:37.508117Z",
+     "iopub.status.busy": "2026-08-05T21:35:37.508024Z",
+     "iopub.status.idle": "2026-08-05T21:35:37.512390Z",
+     "shell.execute_reply": "2026-08-05T21:35:37.512077Z"
     }
    },
    "outputs": [
@@ -404,7 +404,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2d478cd6",
+   "id": "4058979e",
    "metadata": {},
    "source": [
     "Exact. And the consequence is the interesting part."
@@ -413,20 +413,20 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "18861e16",
+   "id": "53e657bb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.068621Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.068447Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.224699Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.224149Z"
+     "iopub.execute_input": "2026-08-05T21:35:37.513253Z",
+     "iopub.status.busy": "2026-08-05T21:35:37.513155Z",
+     "iopub.status.idle": "2026-08-05T21:35:37.666655Z",
+     "shell.execute_reply": "2026-08-05T21:35:37.666171Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fae72e64a70>"
+       "<matplotlib.legend.Legend at 0x7fe4a2751b20>"
       ]
      },
      "execution_count": 5,
@@ -467,7 +467,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "058918ca",
+   "id": "a41d0e16",
    "metadata": {},
    "source": [
     "At room temperature the entropy term is tens of meV and usually ignorable. At a\n",
@@ -496,13 +496,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "20627d41",
+   "id": "61d608c4",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.225718Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.225570Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.646917Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.646488Z"
+     "iopub.execute_input": "2026-08-05T21:35:37.667598Z",
+     "iopub.status.busy": "2026-08-05T21:35:37.667498Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.086024Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.085646Z"
     }
    },
    "outputs": [
@@ -622,13 +622,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "08e236fa",
+   "id": "0ed85923",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.648493Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.648386Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.650813Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.650470Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.087209Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.087105Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.089416Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.089100Z"
     }
    },
    "outputs": [
@@ -649,7 +649,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6392ebad",
+   "id": "7dffe46e",
    "metadata": {},
    "source": [
     "Every cell is now ordered, and the compositions survived: Cu₀.₅Au₀.₅ became\n",
@@ -665,13 +665,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "5b9a7cb8",
+   "id": "9992b688",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.651526Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.651435Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.653549Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.653219Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.090122Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.090038Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.092092Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.091785Z"
     }
    },
    "outputs": [
@@ -698,7 +698,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90f9c62d",
+   "id": "0c5d036e",
    "metadata": {},
    "source": [
     "Arrangements are ranked by **Ewald energy**, which needs oxidation states.\n",
@@ -729,13 +729,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "9173428a",
+   "id": "8df0e9c4",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.654233Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.654145Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.730626Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.730182Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.092792Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.092708Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.169858Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.169404Z"
     }
    },
    "outputs": [
@@ -758,7 +758,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "901742f9",
+   "id": "2c488281",
    "metadata": {},
    "source": [
     "It needs ATAT's `mcsqs`, a separate Fortran program, and it refuses rather than\n",
@@ -776,13 +776,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "e97d56ae",
+   "id": "5c3f5ffd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.731438Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.731340Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.757564Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.757159Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.170844Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.170749Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.197106Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.196751Z"
     }
    },
    "outputs": [
@@ -842,13 +842,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "5e6366f5",
+   "id": "7c6bae12",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.758361Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.758268Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.760853Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.760507Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.197998Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.197904Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.200471Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.200168Z"
     }
    },
    "outputs": [
@@ -872,7 +872,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "406f0278",
+   "id": "12f86057",
    "metadata": {},
    "source": [
     "That message is the point of the function existing at all.\n",
@@ -906,13 +906,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "825f5365",
+   "id": "e135e73b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.761553Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.761463Z",
-     "iopub.status.idle": "2026-08-05T00:28:58.763593Z",
-     "shell.execute_reply": "2026-08-05T00:28:58.762940Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.201387Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.201300Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.203079Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.202766Z"
     }
    },
    "outputs": [
@@ -933,7 +933,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7648eac2",
+   "id": "2889ae58",
    "metadata": {},
    "source": [
     "```{seealso}\n",
@@ -945,7 +945,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "17fb5a10",
+   "id": "cbae4c4a",
    "metadata": {},
    "source": [
     "## What can this be alloyed with?\n",
@@ -962,13 +962,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "40bab818",
+   "id": "1ae6cac3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:58.764298Z",
-     "iopub.status.busy": "2026-08-05T00:28:58.764205Z",
-     "iopub.status.idle": "2026-08-05T00:28:59.501204Z",
-     "shell.execute_reply": "2026-08-05T00:28:59.500756Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.203773Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.203687Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.929429Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.928985Z"
     }
    },
    "outputs": [
@@ -1063,7 +1063,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d9fc8a48",
+   "id": "9850a535",
    "metadata": {},
    "source": [
     "Three pairs out of four materials, and the missing one is the point. **Silicon\n",
@@ -1074,13 +1074,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "65461bee",
+   "id": "a1a83f9c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:59.502178Z",
-     "iopub.status.busy": "2026-08-05T00:28:59.502014Z",
-     "iopub.status.idle": "2026-08-05T00:28:59.504299Z",
-     "shell.execute_reply": "2026-08-05T00:28:59.503962Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.930341Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.930236Z",
+     "iopub.status.idle": "2026-08-05T21:35:38.932356Z",
+     "shell.execute_reply": "2026-08-05T21:35:38.932072Z"
     }
    },
    "outputs": [
@@ -1103,7 +1103,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4fe4476e",
+   "id": "59647ac3",
    "metadata": {},
    "source": [
     "\"Not commensurate\" — there is no species you can swap to get from Si to GaAs\n",
@@ -1130,7 +1130,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12e6f629",
+   "id": "266405df",
    "metadata": {},
    "source": [
     "## Did the disorder work?\n",
@@ -1152,13 +1152,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "16369f8a",
+   "id": "29a20519",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:59.505004Z",
-     "iopub.status.busy": "2026-08-05T00:28:59.504920Z",
-     "iopub.status.idle": "2026-08-05T00:28:59.809047Z",
-     "shell.execute_reply": "2026-08-05T00:28:59.808578Z"
+     "iopub.execute_input": "2026-08-05T21:35:38.933096Z",
+     "iopub.status.busy": "2026-08-05T21:35:38.933011Z",
+     "iopub.status.idle": "2026-08-05T21:35:39.234056Z",
+     "shell.execute_reply": "2026-08-05T21:35:39.233676Z"
     }
    },
    "outputs": [
@@ -1243,7 +1243,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "64f89e56",
+   "id": "c2fe32e2",
    "metadata": {},
    "source": [
     "**+1 for the like pairs and −1 for the unlike ones** on B2, which is what\n",
@@ -1263,13 +1263,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "1ee10b68",
+   "id": "5ebcb8cd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:59.810051Z",
-     "iopub.status.busy": "2026-08-05T00:28:59.809891Z",
-     "iopub.status.idle": "2026-08-05T00:29:00.898640Z",
-     "shell.execute_reply": "2026-08-05T00:29:00.898145Z"
+     "iopub.execute_input": "2026-08-05T21:35:39.234868Z",
+     "iopub.status.busy": "2026-08-05T21:35:39.234777Z",
+     "iopub.status.idle": "2026-08-05T21:35:40.312371Z",
+     "shell.execute_reply": "2026-08-05T21:35:40.311958Z"
     }
    },
    "outputs": [
@@ -1352,7 +1352,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "37c0b4cb",
+   "id": "685b471f",
    "metadata": {},
    "source": [
     "The sign **inverts** between the first shell and the second. In bcc the eight\n",
@@ -1375,7 +1375,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cb964fb8",
+   "id": "9eb06e8a",
    "metadata": {},
    "source": [
     "## An effective Hamiltonian, and what it buys\n",
@@ -1397,13 +1397,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "07bcc81f",
+   "id": "d1b693da",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:00.899542Z",
-     "iopub.status.busy": "2026-08-05T00:29:00.899447Z",
-     "iopub.status.idle": "2026-08-05T00:29:02.991922Z",
-     "shell.execute_reply": "2026-08-05T00:29:02.991331Z"
+     "iopub.execute_input": "2026-08-05T21:35:40.313262Z",
+     "iopub.status.busy": "2026-08-05T21:35:40.313167Z",
+     "iopub.status.idle": "2026-08-05T21:35:42.286960Z",
+     "shell.execute_reply": "2026-08-05T21:35:42.286469Z"
     }
    },
    "outputs": [
@@ -1454,7 +1454,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a7a65d79",
+   "id": "190ed62b",
    "metadata": {},
    "source": [
     "The number that says whether a cluster expansion is any good is the\n",
@@ -1474,13 +1474,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "3c1704f6",
+   "id": "8035ba60",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:02.993347Z",
-     "iopub.status.busy": "2026-08-05T00:29:02.992806Z",
-     "iopub.status.idle": "2026-08-05T00:29:39.290934Z",
-     "shell.execute_reply": "2026-08-05T00:29:39.290278Z"
+     "iopub.execute_input": "2026-08-05T21:35:42.288347Z",
+     "iopub.status.busy": "2026-08-05T21:35:42.287903Z",
+     "iopub.status.idle": "2026-08-05T21:36:24.543136Z",
+     "shell.execute_reply": "2026-08-05T21:36:24.542320Z"
     }
    },
    "outputs": [
@@ -1518,7 +1518,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c876d3b",
+   "id": "59e05233",
    "metadata": {},
    "source": [
     "A heat capacity that is flat everywhere except one sharp peak, and the peak is\n",
diff --git a/matverse_guide/docs/tutorials/dynamics.ipynb b/matverse_guide/docs/tutorials/dynamics.ipynb
index 0ef1f2a..3b3fc40 100644
--- a/matverse_guide/docs/tutorials/dynamics.ipynb
+++ b/matverse_guide/docs/tutorials/dynamics.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "728ee670",
+   "id": "68c89927",
    "metadata": {},
    "source": [
     "# Dynamics\n",
@@ -23,13 +23,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "0d734573",
+   "id": "af356943",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:08.494089Z",
-     "iopub.status.busy": "2026-08-05T00:21:08.494006Z",
-     "iopub.status.idle": "2026-08-05T00:21:14.139300Z",
-     "shell.execute_reply": "2026-08-05T00:21:14.138728Z"
+     "iopub.execute_input": "2026-08-05T21:19:41.506657Z",
+     "iopub.status.busy": "2026-08-05T21:19:41.506580Z",
+     "iopub.status.idle": "2026-08-05T21:19:46.747056Z",
+     "shell.execute_reply": "2026-08-05T21:19:46.746606Z"
     }
    },
    "outputs": [
@@ -73,7 +73,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -89,7 +89,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fb875632",
+   "id": "10ca724b",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -102,13 +102,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "4afb6403",
+   "id": "3baae380",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:14.140747Z",
-     "iopub.status.busy": "2026-08-05T00:21:14.140362Z",
-     "iopub.status.idle": "2026-08-05T00:21:14.156979Z",
-     "shell.execute_reply": "2026-08-05T00:21:14.156546Z"
+     "iopub.execute_input": "2026-08-05T21:19:46.748423Z",
+     "iopub.status.busy": "2026-08-05T21:19:46.748012Z",
+     "iopub.status.idle": "2026-08-05T21:19:46.764406Z",
+     "shell.execute_reply": "2026-08-05T21:19:46.763923Z"
     }
    },
    "outputs": [
@@ -170,7 +170,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "54e0677d",
+   "id": "c5dcd398",
    "metadata": {},
    "source": [
     "## Running\n",
@@ -182,13 +182,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "45442d0a",
+   "id": "7ba38733",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:14.158011Z",
-     "iopub.status.busy": "2026-08-05T00:21:14.157888Z",
-     "iopub.status.idle": "2026-08-05T00:21:21.098640Z",
-     "shell.execute_reply": "2026-08-05T00:21:21.098064Z"
+     "iopub.execute_input": "2026-08-05T21:19:46.765290Z",
+     "iopub.status.busy": "2026-08-05T21:19:46.765187Z",
+     "iopub.status.idle": "2026-08-05T21:19:53.655029Z",
+     "shell.execute_reply": "2026-08-05T21:19:53.654384Z"
     }
    },
    "outputs": [
@@ -253,7 +253,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fc06faf8",
+   "id": "b37947c8",
    "metadata": {},
    "source": [
     "`md_temperature_emt` is the temperature the run actually achieved, and it is\n",
@@ -278,13 +278,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "bcd7e111",
+   "id": "e0d41c7d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:21.099816Z",
-     "iopub.status.busy": "2026-08-05T00:21:21.099719Z",
-     "iopub.status.idle": "2026-08-05T00:21:21.102231Z",
-     "shell.execute_reply": "2026-08-05T00:21:21.101787Z"
+     "iopub.execute_input": "2026-08-05T21:19:53.656176Z",
+     "iopub.status.busy": "2026-08-05T21:19:53.656051Z",
+     "iopub.status.idle": "2026-08-05T21:19:53.658641Z",
+     "shell.execute_reply": "2026-08-05T21:19:53.658325Z"
     }
    },
    "outputs": [
@@ -307,20 +307,20 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "43ad0bb8",
+   "id": "2ede9703",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:21.103074Z",
-     "iopub.status.busy": "2026-08-05T00:21:21.102984Z",
-     "iopub.status.idle": "2026-08-05T00:21:21.262698Z",
-     "shell.execute_reply": "2026-08-05T00:21:21.262122Z"
+     "iopub.execute_input": "2026-08-05T21:19:53.659349Z",
+     "iopub.status.busy": "2026-08-05T21:19:53.659259Z",
+     "iopub.status.idle": "2026-08-05T21:19:53.825689Z",
+     "shell.execute_reply": "2026-08-05T21:19:53.825328Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f353adb7b30>"
+       "<matplotlib.legend.Legend at 0x7f3a777d18b0>"
       ]
      },
      "execution_count": 5,
@@ -361,7 +361,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "be814666",
+   "id": "acc54c55",
    "metadata": {},
    "source": [
     "The instantaneous temperature swings wildly around its mean, and that is\n",
@@ -382,13 +382,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "3ed772c1",
+   "id": "9ab1ac28",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:21.263664Z",
-     "iopub.status.busy": "2026-08-05T00:21:21.263557Z",
-     "iopub.status.idle": "2026-08-05T00:22:08.327541Z",
-     "shell.execute_reply": "2026-08-05T00:22:08.326909Z"
+     "iopub.execute_input": "2026-08-05T21:19:53.826553Z",
+     "iopub.status.busy": "2026-08-05T21:19:53.826443Z",
+     "iopub.status.idle": "2026-08-05T21:20:43.318311Z",
+     "shell.execute_reply": "2026-08-05T21:20:43.305431Z"
     }
    },
    "outputs": [
@@ -465,13 +465,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "d1761f0e",
+   "id": "3b1c5859",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:08.328762Z",
-     "iopub.status.busy": "2026-08-05T00:22:08.328652Z",
-     "iopub.status.idle": "2026-08-05T00:22:08.444401Z",
-     "shell.execute_reply": "2026-08-05T00:22:08.443978Z"
+     "iopub.execute_input": "2026-08-05T21:20:43.319616Z",
+     "iopub.status.busy": "2026-08-05T21:20:43.319470Z",
+     "iopub.status.idle": "2026-08-05T21:20:43.546009Z",
+     "shell.execute_reply": "2026-08-05T21:20:43.545591Z"
     }
    },
    "outputs": [
@@ -514,7 +514,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "99703abd",
+   "id": "62225a85",
    "metadata": {},
    "source": [
     "A percent or so over 600 K, which is the right order for a metal — copper's\n",
@@ -535,13 +535,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "7841aa42",
+   "id": "a9a9fc41",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:08.445368Z",
-     "iopub.status.busy": "2026-08-05T00:22:08.445208Z",
-     "iopub.status.idle": "2026-08-05T00:22:15.356112Z",
-     "shell.execute_reply": "2026-08-05T00:22:15.355617Z"
+     "iopub.execute_input": "2026-08-05T21:20:43.546810Z",
+     "iopub.status.busy": "2026-08-05T21:20:43.546708Z",
+     "iopub.status.idle": "2026-08-05T21:20:55.232625Z",
+     "shell.execute_reply": "2026-08-05T21:20:55.231961Z"
     }
    },
    "outputs": [
@@ -602,7 +602,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "17399414",
+   "id": "961f87ce",
    "metadata": {},
    "source": [
     "Essentially zero, and that is the right answer. Copper at 300 K has a vacancy\n",
@@ -630,13 +630,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "34544a9b",
+   "id": "fb77b3ef",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:15.357017Z",
-     "iopub.status.busy": "2026-08-05T00:22:15.356918Z",
-     "iopub.status.idle": "2026-08-05T00:22:15.467691Z",
-     "shell.execute_reply": "2026-08-05T00:22:15.467302Z"
+     "iopub.execute_input": "2026-08-05T21:20:55.233938Z",
+     "iopub.status.busy": "2026-08-05T21:20:55.233788Z",
+     "iopub.status.idle": "2026-08-05T21:20:55.500645Z",
+     "shell.execute_reply": "2026-08-05T21:20:55.500077Z"
     }
    },
    "outputs": [
@@ -657,7 +657,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "20941b16",
+   "id": "0ec817f2",
    "metadata": {},
    "source": [
     "Empty in this build, because the engine is not installed. Registering one is the\n",
@@ -668,13 +668,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "ccf4e703",
+   "id": "02550b60",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:15.468492Z",
-     "iopub.status.busy": "2026-08-05T00:22:15.468394Z",
-     "iopub.status.idle": "2026-08-05T00:22:15.470963Z",
-     "shell.execute_reply": "2026-08-05T00:22:15.470645Z"
+     "iopub.execute_input": "2026-08-05T21:20:55.501875Z",
+     "iopub.status.busy": "2026-08-05T21:20:55.501738Z",
+     "iopub.status.idle": "2026-08-05T21:20:55.504929Z",
+     "shell.execute_reply": "2026-08-05T21:20:55.504517Z"
     }
    },
    "outputs": [
@@ -709,7 +709,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ee56b28b",
+   "id": "79f1181d",
    "metadata": {},
    "source": [
     "The factory is lazy, which is why that cell runs in an environment without\n",
@@ -732,13 +732,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "421434ab",
+   "id": "dfc8843c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:15.471647Z",
-     "iopub.status.busy": "2026-08-05T00:22:15.471562Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.107247Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.106774Z"
+     "iopub.execute_input": "2026-08-05T21:20:55.506012Z",
+     "iopub.status.busy": "2026-08-05T21:20:55.505900Z",
+     "iopub.status.idle": "2026-08-05T21:21:49.909845Z",
+     "shell.execute_reply": "2026-08-05T21:21:49.909291Z"
     }
    },
    "outputs": [
@@ -798,13 +798,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "3d59c742",
+   "id": "fa29d044",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.108584Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.108425Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.110735Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.110369Z"
+     "iopub.execute_input": "2026-08-05T21:21:49.923008Z",
+     "iopub.status.busy": "2026-08-05T21:21:49.922733Z",
+     "iopub.status.idle": "2026-08-05T21:21:49.925699Z",
+     "shell.execute_reply": "2026-08-05T21:21:49.925247Z"
     }
    },
    "outputs": [
@@ -825,7 +825,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d1b1a975",
+   "id": "15a1bfdd",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -844,13 +844,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "b70b1363",
+   "id": "685811ea",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.111603Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.111495Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.115967Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.113367Z"
+     "iopub.execute_input": "2026-08-05T21:21:49.927053Z",
+     "iopub.status.busy": "2026-08-05T21:21:49.926937Z",
+     "iopub.status.idle": "2026-08-05T21:21:49.929462Z",
+     "shell.execute_reply": "2026-08-05T21:21:49.929019Z"
     }
    },
    "outputs": [
@@ -871,7 +871,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7e9ee807",
+   "id": "9d3b0325",
    "metadata": {},
    "source": [
     "## Was it actually amorphous?\n",
@@ -884,20 +884,20 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "a3a28724",
+   "id": "40abf45a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.116978Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.116846Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.639342Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.638922Z"
+     "iopub.execute_input": "2026-08-05T21:21:49.930478Z",
+     "iopub.status.busy": "2026-08-05T21:21:49.930365Z",
+     "iopub.status.idle": "2026-08-05T21:21:50.847974Z",
+     "shell.execute_reply": "2026-08-05T21:21:50.846405Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f35324b8050>"
+       "<matplotlib.legend.Legend at 0x7f3a76395d60>"
       ]
      },
      "execution_count": 14,
@@ -938,7 +938,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b1a4e0b6",
+   "id": "8722dbab",
    "metadata": {},
    "source": [
     "The crystal's shells stay sharp out to 8 Å. The quenched structure keeps its\n",
@@ -953,13 +953,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "6dc30f9b",
+   "id": "672d05a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.640378Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.640280Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.642515Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.642156Z"
+     "iopub.execute_input": "2026-08-05T21:21:50.849480Z",
+     "iopub.status.busy": "2026-08-05T21:21:50.849335Z",
+     "iopub.status.idle": "2026-08-05T21:21:50.854058Z",
+     "shell.execute_reply": "2026-08-05T21:21:50.852663Z"
     }
    },
    "outputs": [
@@ -985,7 +985,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d802c58a",
+   "id": "6da60d48",
    "metadata": {},
    "source": [
     "Every temperature, every step count, every thermostat setting. For MD that is\n",
@@ -1001,7 +1001,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31d396a6",
+   "id": "1a590f0b",
    "metadata": {},
    "source": [
     "## Where the atoms spend their time\n",
@@ -1021,13 +1021,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "5940ec25",
+   "id": "5635452f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.643247Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.643159Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.665440Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.665009Z"
+     "iopub.execute_input": "2026-08-05T21:21:50.855221Z",
+     "iopub.status.busy": "2026-08-05T21:21:50.855094Z",
+     "iopub.status.idle": "2026-08-05T21:21:50.916856Z",
+     "shell.execute_reply": "2026-08-05T21:21:50.915467Z"
     }
    },
    "outputs": [
@@ -1101,7 +1101,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2b188ae4",
+   "id": "445a8687",
    "metadata": {},
    "source": [
     "The first peak lands at 2.96 Å against a nearest-neighbour distance of 2.97, and\n",
@@ -1120,7 +1120,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "02e9f8c6",
+   "id": "e54cecb2",
    "metadata": {},
    "source": [
     "## How much of the cell do they visit?\n",
@@ -1137,13 +1137,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "3e256827",
+   "id": "04b760a9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.666374Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.666203Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.680475Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.680116Z"
+     "iopub.execute_input": "2026-08-05T21:21:50.918094Z",
+     "iopub.status.busy": "2026-08-05T21:21:50.917963Z",
+     "iopub.status.idle": "2026-08-05T21:21:50.989108Z",
+     "shell.execute_reply": "2026-08-05T21:21:50.988574Z"
     }
    },
    "outputs": [
@@ -1247,7 +1247,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "890368eb",
+   "id": "18bf76a5",
    "metadata": {},
    "source": [
     "Monotonic, from four ions pinned in four voxels to a liquid that has forgotten\n",
@@ -1266,13 +1266,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "355e0df0",
+   "id": "c92d9cda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.681331Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.681236Z",
-     "iopub.status.idle": "2026-08-05T00:22:58.684996Z",
-     "shell.execute_reply": "2026-08-05T00:22:58.684641Z"
+     "iopub.execute_input": "2026-08-05T21:21:50.990152Z",
+     "iopub.status.busy": "2026-08-05T21:21:50.990029Z",
+     "iopub.status.idle": "2026-08-05T21:21:50.994700Z",
+     "shell.execute_reply": "2026-08-05T21:21:50.994267Z"
     }
    },
    "outputs": [
@@ -1303,7 +1303,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "07236b0d",
+   "id": "c508b7ed",
    "metadata": {},
    "source": [
     "0.87 became 0.03 with no change to the physics. That is why the function warns\n",
@@ -1317,7 +1317,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "95c3c0fd",
+   "id": "bd5585fa",
    "metadata": {},
    "source": [
     "## The shape of the motion\n",
@@ -1334,13 +1334,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "0c61c48d",
+   "id": "d29ccd57",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:58.685701Z",
-     "iopub.status.busy": "2026-08-05T00:22:58.685615Z",
-     "iopub.status.idle": "2026-08-05T00:22:59.378750Z",
-     "shell.execute_reply": "2026-08-05T00:22:59.378275Z"
+     "iopub.execute_input": "2026-08-05T21:21:50.995624Z",
+     "iopub.status.busy": "2026-08-05T21:21:50.995516Z",
+     "iopub.status.idle": "2026-08-05T21:21:52.376639Z",
+     "shell.execute_reply": "2026-08-05T21:21:52.376155Z"
     }
    },
    "outputs": [
@@ -1381,7 +1381,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dd00de48",
+   "id": "4f00bacf",
    "metadata": {},
    "source": [
     "Twelve, eighteen, fifty-four — the neighbour counts of a rocksalt lattice,\n",
@@ -1399,13 +1399,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "b4e50ef2",
+   "id": "1c0efce4",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:22:59.379688Z",
-     "iopub.status.busy": "2026-08-05T00:22:59.379594Z",
-     "iopub.status.idle": "2026-08-05T00:23:01.476637Z",
-     "shell.execute_reply": "2026-08-05T00:23:01.476253Z"
+     "iopub.execute_input": "2026-08-05T21:21:52.378023Z",
+     "iopub.status.busy": "2026-08-05T21:21:52.377843Z",
+     "iopub.status.idle": "2026-08-05T21:21:54.880439Z",
+     "shell.execute_reply": "2026-08-05T21:21:54.879663Z"
     }
    },
    "outputs": [
@@ -1485,7 +1485,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b8a653ef",
+   "id": "a35d36be",
    "metadata": {},
    "source": [
     "Two things to read.\n",
@@ -1509,7 +1509,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30c35b77",
+   "id": "dc739b98",
    "metadata": {},
    "source": [
     "## Rattling or hopping?\n",
@@ -1528,13 +1528,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "6bc53827",
+   "id": "bf1a0edd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:01.477640Z",
-     "iopub.status.busy": "2026-08-05T00:23:01.477490Z",
-     "iopub.status.idle": "2026-08-05T00:23:01.503506Z",
-     "shell.execute_reply": "2026-08-05T00:23:01.503102Z"
+     "iopub.execute_input": "2026-08-05T21:21:54.881619Z",
+     "iopub.status.busy": "2026-08-05T21:21:54.881495Z",
+     "iopub.status.idle": "2026-08-05T21:21:54.910237Z",
+     "shell.execute_reply": "2026-08-05T21:21:54.909950Z"
     }
    },
    "outputs": [
@@ -1627,7 +1627,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6a0b8ab2",
+   "id": "6a341574",
    "metadata": {},
    "source": [
     "The vibration amplitude is unchanged between the two runs, because it *is*\n",
diff --git a/matverse_guide/docs/tutorials/from_pymatgen.ipynb b/matverse_guide/docs/tutorials/from_pymatgen.ipynb
index a231986..01f152a 100644
--- a/matverse_guide/docs/tutorials/from_pymatgen.ipynb
+++ b/matverse_guide/docs/tutorials/from_pymatgen.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6354866c",
+   "id": "0378a752",
    "metadata": {},
    "source": [
     "# Coming from pymatgen\n",
@@ -36,13 +36,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "3d54e2c5",
+   "id": "49e82fba",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:41.916073Z",
-     "iopub.status.busy": "2026-08-05T00:29:41.915941Z",
-     "iopub.status.idle": "2026-08-05T00:29:48.562192Z",
-     "shell.execute_reply": "2026-08-05T00:29:48.561526Z"
+     "iopub.execute_input": "2026-08-05T21:36:28.600729Z",
+     "iopub.status.busy": "2026-08-05T21:36:28.600631Z",
+     "iopub.status.idle": "2026-08-05T21:36:37.492369Z",
+     "shell.execute_reply": "2026-08-05T21:36:37.491878Z"
     }
    },
    "outputs": [
@@ -86,7 +86,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e9577f58",
+   "id": "52d67162",
    "metadata": {},
    "source": [
     "## Every transformation, by name\n",
@@ -115,13 +115,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "c46623c7",
+   "id": "40ca9859",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:48.563600Z",
-     "iopub.status.busy": "2026-08-05T00:29:48.563161Z",
-     "iopub.status.idle": "2026-08-05T00:29:48.974397Z",
-     "shell.execute_reply": "2026-08-05T00:29:48.973886Z"
+     "iopub.execute_input": "2026-08-05T21:36:37.493645Z",
+     "iopub.status.busy": "2026-08-05T21:36:37.493277Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.143268Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.142745Z"
     }
    },
    "outputs": [
@@ -144,13 +144,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "58a80b5f",
+   "id": "37bb9832",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:48.975905Z",
-     "iopub.status.busy": "2026-08-05T00:29:48.975490Z",
-     "iopub.status.idle": "2026-08-05T00:29:48.982801Z",
-     "shell.execute_reply": "2026-08-05T00:29:48.982361Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.144541Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.144032Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.151983Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.151698Z"
     }
    },
    "outputs": [
@@ -301,7 +301,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "71dc8b3d",
+   "id": "1b3b962f",
    "metadata": {},
    "source": [
     "Read from pymatgen at call time rather than from a table here, so a\n",
@@ -313,13 +313,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "c17243fb",
+   "id": "01bd6acb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:48.983688Z",
-     "iopub.status.busy": "2026-08-05T00:29:48.983573Z",
-     "iopub.status.idle": "2026-08-05T00:29:48.987179Z",
-     "shell.execute_reply": "2026-08-05T00:29:48.986784Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.152739Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.152597Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.155971Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.155728Z"
     }
    },
    "outputs": [
@@ -340,7 +340,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b95c199d",
+   "id": "e7cbf552",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -351,13 +351,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "a4cbbfc5",
+   "id": "0e0e3332",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:48.987976Z",
-     "iopub.status.busy": "2026-08-05T00:29:48.987826Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.017615Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.017218Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.157076Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.156942Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.195163Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.194759Z"
     }
    },
    "outputs": [
@@ -435,7 +435,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "04045f52",
+   "id": "9afef4e3",
    "metadata": {},
    "source": [
     "## Applying one"
@@ -444,13 +444,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "36c9de7c",
+   "id": "dd3d88bd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.018482Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.018381Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.026816Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.026319Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.196037Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.195885Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.203793Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.203520Z"
     }
    },
    "outputs": [
@@ -474,7 +474,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4704e550",
+   "id": "bdb59844",
    "metadata": {},
    "source": [
     "Three variants where a list comprehension would have left you with one list and\n",
@@ -488,13 +488,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "ea4c63f2",
+   "id": "2f807277",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.027783Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.027600Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.032765Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.032416Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.204563Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.204421Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.209083Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.208824Z"
     }
    },
    "outputs": [
@@ -569,7 +569,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "24939fb3",
+   "id": "cd91bb95",
    "metadata": {},
    "source": [
     "### A failure on one row is not a failure of the call\n",
@@ -582,13 +582,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "195461a8",
+   "id": "58876262",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.033728Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.033620Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.039615Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.039255Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.209782Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.209647Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.215084Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.214834Z"
     }
    },
    "outputs": [
@@ -664,13 +664,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "3f1059a1",
+   "id": "740008d4",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.040518Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.040366Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.042481Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.042153Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.215796Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.215661Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.218053Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.217760Z"
     }
    },
    "outputs": [
@@ -691,7 +691,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4fdb9a01",
+   "id": "0f0cf910",
    "metadata": {},
    "source": [
     "The rows that failed kept their original structure and are flagged `False`, so\n",
@@ -705,13 +705,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "56465b1e",
+   "id": "7228fd12",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.043333Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.043144Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.045321Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.044998Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.218767Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.218627Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.220657Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.220423Z"
     }
    },
    "outputs": [
@@ -737,7 +737,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e3707f5e",
+   "id": "3449f746",
    "metadata": {},
    "source": [
     "## One-to-many\n",
@@ -751,13 +751,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "2db42a23",
+   "id": "b1c96dff",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.046044Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.045956Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.077658Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.077045Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.221343Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.221203Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.243343Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.243051Z"
     }
    },
    "outputs": [
@@ -844,7 +844,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7ea9ff18",
+   "id": "9f035590",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -862,13 +862,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "8d232f8f",
+   "id": "79ea6328",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.078584Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.078464Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.087021Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.086646Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.244109Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.243974Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.252236Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.251927Z"
     }
    },
    "outputs": [
@@ -941,13 +941,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "ba63942d",
+   "id": "4468ed4e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.087813Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.087719Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.089893Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.089562Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.253016Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.252870Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.254979Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.254729Z"
     }
    },
    "outputs": [
@@ -970,7 +970,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3d50d3b1",
+   "id": "a4f6fc9b",
    "metadata": {},
    "source": [
     "One variant rather than one per step, because the intermediates are usually not\n",
@@ -995,13 +995,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "f5b2079d",
+   "id": "e08d1b32",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.090605Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.090515Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.114375Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.113980Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.255645Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.255507Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.281700Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.281401Z"
     }
    },
    "outputs": [
@@ -1079,13 +1079,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "ead264ef",
+   "id": "8f726896",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.115149Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.115058Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.118394Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.118068Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.282436Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.282289Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.285577Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.285312Z"
     }
    },
    "outputs": [
@@ -1107,7 +1107,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "16467d7c",
+   "id": "f1b09fe4",
    "metadata": {},
    "source": [
     "Bond-valence analysis read the states off the bond lengths, and the cells came\n",
@@ -1120,13 +1120,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "df70c029",
+   "id": "26c92876",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.119106Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.119016Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.292016Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.291667Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.286268Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.286119Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.485801Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.485425Z"
     }
    },
    "outputs": [
@@ -1158,7 +1158,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8370746c",
+   "id": "6cb9f6c8",
    "metadata": {},
    "source": [
     "### It fails on metals, and says so per row\n",
@@ -1171,13 +1171,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "0937e481",
+   "id": "c4593e6a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.292798Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.292706Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.338632Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.338248Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.486766Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.486589Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.538995Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.538622Z"
     }
    },
    "outputs": [
@@ -1243,13 +1243,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "beb0dea6",
+   "id": "e01778dc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.339409Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.339315Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.341391Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.341064Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.539954Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.539774Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.542120Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.541837Z"
     }
    },
    "outputs": [
@@ -1270,7 +1270,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "330ee441",
+   "id": "32d0c37f",
    "metadata": {},
    "source": [
     "## What you get for it\n",
@@ -1305,13 +1305,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "11db1d39",
+   "id": "d259d4e8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.342051Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.341967Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.380867Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.380500Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.542968Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.542814Z",
+     "iopub.status.idle": "2026-08-05T21:36:38.590599Z",
+     "shell.execute_reply": "2026-08-05T21:36:38.590217Z"
     }
    },
    "outputs": [
@@ -1377,7 +1377,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fa1c934d",
+   "id": "788a2e39",
    "metadata": {},
    "source": [
     "`a+b, a-b, c` is the one to look at: it doubles the volume and gives axes of\n",
@@ -1409,13 +1409,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "690e644c",
+   "id": "9d7a1bce",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.381675Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.381584Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.727426Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.727040Z"
+     "iopub.execute_input": "2026-08-05T21:36:38.591527Z",
+     "iopub.status.busy": "2026-08-05T21:36:38.591362Z",
+     "iopub.status.idle": "2026-08-05T21:36:39.093557Z",
+     "shell.execute_reply": "2026-08-05T21:36:39.093161Z"
     }
    },
    "outputs": [
@@ -1490,7 +1490,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8d2a8a98",
+   "id": "55a5476f",
    "metadata": {},
    "source": [
     "| | matverse | α·e²/4πε₀r |\n",
@@ -1518,13 +1518,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "875efc2e",
+   "id": "402593a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:49.728257Z",
-     "iopub.status.busy": "2026-08-05T00:29:49.728159Z",
-     "iopub.status.idle": "2026-08-05T00:29:49.730179Z",
-     "shell.execute_reply": "2026-08-05T00:29:49.729845Z"
+     "iopub.execute_input": "2026-08-05T21:36:39.094516Z",
+     "iopub.status.busy": "2026-08-05T21:36:39.094349Z",
+     "iopub.status.idle": "2026-08-05T21:36:39.096528Z",
+     "shell.execute_reply": "2026-08-05T21:36:39.096256Z"
     }
    },
    "outputs": [
@@ -1551,7 +1551,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9777ffb7",
+   "id": "50b132a0",
    "metadata": {},
    "source": [
     "## What matverse does not do\n",
diff --git a/matverse_guide/docs/tutorials/getting_started.ipynb b/matverse_guide/docs/tutorials/getting_started.ipynb
index 5ade672..df2406f 100644
--- a/matverse_guide/docs/tutorials/getting_started.ipynb
+++ b/matverse_guide/docs/tutorials/getting_started.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "83dce4a8",
+   "id": "87085ba5",
    "metadata": {},
    "source": [
     "# Screening real materials with matverse\n",
@@ -25,13 +25,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "4d0af7b3",
+   "id": "47947cf5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:17.384682Z",
-     "iopub.status.busy": "2026-08-05T00:19:17.384536Z",
-     "iopub.status.idle": "2026-08-05T00:19:23.168362Z",
-     "shell.execute_reply": "2026-08-05T00:19:23.167867Z"
+     "iopub.execute_input": "2026-08-05T21:17:31.651973Z",
+     "iopub.status.busy": "2026-08-05T21:17:31.651847Z",
+     "iopub.status.idle": "2026-08-05T21:17:45.198780Z",
+     "shell.execute_reply": "2026-08-05T21:17:45.197950Z"
     }
    },
    "outputs": [
@@ -75,7 +75,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c18ca25",
+   "id": "d8319427",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -120,13 +120,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "b35ae9b8",
+   "id": "e0bb8aee",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:23.169703Z",
-     "iopub.status.busy": "2026-08-05T00:19:23.169271Z",
-     "iopub.status.idle": "2026-08-05T00:19:23.172718Z",
-     "shell.execute_reply": "2026-08-05T00:19:23.172375Z"
+     "iopub.execute_input": "2026-08-05T21:17:45.201504Z",
+     "iopub.status.busy": "2026-08-05T21:17:45.200525Z",
+     "iopub.status.idle": "2026-08-05T21:17:45.206259Z",
+     "shell.execute_reply": "2026-08-05T21:17:45.205544Z"
     }
    },
    "outputs": [
@@ -162,13 +162,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "983cefd2",
+   "id": "87bb662b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:23.173497Z",
-     "iopub.status.busy": "2026-08-05T00:19:23.173365Z",
-     "iopub.status.idle": "2026-08-05T00:19:23.188838Z",
-     "shell.execute_reply": "2026-08-05T00:19:23.188464Z"
+     "iopub.execute_input": "2026-08-05T21:17:45.207492Z",
+     "iopub.status.busy": "2026-08-05T21:17:45.207330Z",
+     "iopub.status.idle": "2026-08-05T21:17:45.257911Z",
+     "shell.execute_reply": "2026-08-05T21:17:45.257468Z"
     }
    },
    "outputs": [
@@ -195,7 +195,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dae161ae",
+   "id": "7f587a29",
    "metadata": {},
    "source": [
     "`X` is the composition matrix and `var` is the periodic table. Neither was asked\n",
@@ -210,13 +210,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "13ee97f5",
+   "id": "b5a637da",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:23.189670Z",
-     "iopub.status.busy": "2026-08-05T00:19:23.189522Z",
-     "iopub.status.idle": "2026-08-05T00:19:23.196443Z",
-     "shell.execute_reply": "2026-08-05T00:19:23.196093Z"
+     "iopub.execute_input": "2026-08-05T21:17:45.259046Z",
+     "iopub.status.busy": "2026-08-05T21:17:45.258908Z",
+     "iopub.status.idle": "2026-08-05T21:17:45.277795Z",
+     "shell.execute_reply": "2026-08-05T21:17:45.277302Z"
     }
    },
    "outputs": [
@@ -310,13 +310,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "57c96428",
+   "id": "820a2255",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:23.197167Z",
-     "iopub.status.busy": "2026-08-05T00:19:23.197080Z",
-     "iopub.status.idle": "2026-08-05T00:19:23.202448Z",
-     "shell.execute_reply": "2026-08-05T00:19:23.202087Z"
+     "iopub.execute_input": "2026-08-05T21:17:45.278786Z",
+     "iopub.status.busy": "2026-08-05T21:17:45.278661Z",
+     "iopub.status.idle": "2026-08-05T21:17:45.285497Z",
+     "shell.execute_reply": "2026-08-05T21:17:45.285123Z"
     }
    },
    "outputs": [
@@ -423,7 +423,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f2f2e030",
+   "id": "fb2cba81",
    "metadata": {},
    "source": [
     "Because `var` is the periodic table, the natural display of anything\n",
@@ -434,13 +434,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "b5d71596",
+   "id": "aee4bc29",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:23.203180Z",
-     "iopub.status.busy": "2026-08-05T00:19:23.203091Z",
-     "iopub.status.idle": "2026-08-05T00:19:23.553492Z",
-     "shell.execute_reply": "2026-08-05T00:19:23.553059Z"
+     "iopub.execute_input": "2026-08-05T21:17:45.287218Z",
+     "iopub.status.busy": "2026-08-05T21:17:45.287035Z",
+     "iopub.status.idle": "2026-08-05T21:17:46.055109Z",
+     "shell.execute_reply": "2026-08-05T21:17:46.054666Z"
     }
    },
    "outputs": [
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3d27f131",
+   "id": "9d56e981",
    "metadata": {},
    "source": [
     "And you can just look at one, which catches the mistakes a number will not\n",
@@ -490,13 +490,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "22fa3e40",
+   "id": "efb43367",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:23.554702Z",
-     "iopub.status.busy": "2026-08-05T00:19:23.554595Z",
-     "iopub.status.idle": "2026-08-05T00:19:23.793591Z",
-     "shell.execute_reply": "2026-08-05T00:19:23.793082Z"
+     "iopub.execute_input": "2026-08-05T21:17:46.058094Z",
+     "iopub.status.busy": "2026-08-05T21:17:46.057944Z",
+     "iopub.status.idle": "2026-08-05T21:17:46.548142Z",
+     "shell.execute_reply": "2026-08-05T21:17:46.547716Z"
     }
    },
    "outputs": [
@@ -533,7 +533,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8278ea54",
+   "id": "7aa0a4ff",
    "metadata": {},
    "source": [
     "With `py3Dmol` installed the default backend is an interactive viewer instead.\n",
@@ -553,13 +553,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "2c5e4b0d",
+   "id": "47c8f203",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:23.794804Z",
-     "iopub.status.busy": "2026-08-05T00:19:23.794600Z",
-     "iopub.status.idle": "2026-08-05T00:19:24.026156Z",
-     "shell.execute_reply": "2026-08-05T00:19:24.025701Z"
+     "iopub.execute_input": "2026-08-05T21:17:46.549327Z",
+     "iopub.status.busy": "2026-08-05T21:17:46.549197Z",
+     "iopub.status.idle": "2026-08-05T21:17:47.022963Z",
+     "shell.execute_reply": "2026-08-05T21:17:47.022552Z"
     }
    },
    "outputs": [
@@ -646,13 +646,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "93629614",
+   "id": "4ad198be",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:24.027127Z",
-     "iopub.status.busy": "2026-08-05T00:19:24.027032Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.246107Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.245621Z"
+     "iopub.execute_input": "2026-08-05T21:17:47.024013Z",
+     "iopub.status.busy": "2026-08-05T21:17:47.023894Z",
+     "iopub.status.idle": "2026-08-05T21:17:54.244593Z",
+     "shell.execute_reply": "2026-08-05T21:17:54.243568Z"
     }
    },
    "outputs": [
@@ -729,13 +729,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "c74ae486",
+   "id": "be0964e2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.247165Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.246989Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.498273Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.497839Z"
+     "iopub.execute_input": "2026-08-05T21:17:54.245823Z",
+     "iopub.status.busy": "2026-08-05T21:17:54.245682Z",
+     "iopub.status.idle": "2026-08-05T21:17:54.782349Z",
+     "shell.execute_reply": "2026-08-05T21:17:54.781300Z"
     }
    },
    "outputs": [
@@ -821,13 +821,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "6365a25d",
+   "id": "e60da940",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.499228Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.499131Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.506722Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.506371Z"
+     "iopub.execute_input": "2026-08-05T21:17:54.783818Z",
+     "iopub.status.busy": "2026-08-05T21:17:54.783398Z",
+     "iopub.status.idle": "2026-08-05T21:17:54.793751Z",
+     "shell.execute_reply": "2026-08-05T21:17:54.793014Z"
     }
    },
    "outputs": [
@@ -917,7 +917,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "11f838b3",
+   "id": "74df756a",
    "metadata": {},
    "source": [
     "The cheapest possible statement about electronic structure: line up the atomic\n",
@@ -944,7 +944,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "270db39f",
+   "id": "a6a7a547",
    "metadata": {},
    "source": [
     "`spacegroup` gives the symbol. This gives what the symbol *implies* — and\n",
@@ -963,7 +963,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "188bb317",
+   "id": "bc3a71be",
    "metadata": {},
    "source": [
     "A space group says which symmetries a structure has. A **prototype** says which\n",
@@ -982,7 +982,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c6b9530f",
+   "id": "939fdfdf",
    "metadata": {},
    "source": [
     "`spacegroup` is determined from the deposited coordinates, not copied from a\n",
@@ -1004,13 +1004,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "13613ad5",
+   "id": "4e26c596",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.507552Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.507404Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.564605Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.564201Z"
+     "iopub.execute_input": "2026-08-05T21:17:54.795135Z",
+     "iopub.status.busy": "2026-08-05T21:17:54.794732Z",
+     "iopub.status.idle": "2026-08-05T21:17:54.930364Z",
+     "shell.execute_reply": "2026-08-05T21:17:54.929305Z"
     }
    },
    "outputs": [
@@ -1034,13 +1034,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "13316bf6",
+   "id": "7366accf",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.565502Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.565407Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.703251Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.702824Z"
+     "iopub.execute_input": "2026-08-05T21:17:54.931762Z",
+     "iopub.status.busy": "2026-08-05T21:17:54.931365Z",
+     "iopub.status.idle": "2026-08-05T21:17:55.221324Z",
+     "shell.execute_reply": "2026-08-05T21:17:55.220312Z"
     }
    },
    "outputs": [
@@ -1077,7 +1077,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a176fdd2",
+   "id": "05e45e62",
    "metadata": {},
    "source": [
     "LiFePO₄ and NaFePO₄ are the same framework with a different alkali, and the\n",
@@ -1092,13 +1092,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "207a536e",
+   "id": "9c0f8384",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.704353Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.704250Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.711569Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.711162Z"
+     "iopub.execute_input": "2026-08-05T21:17:55.222783Z",
+     "iopub.status.busy": "2026-08-05T21:17:55.222366Z",
+     "iopub.status.idle": "2026-08-05T21:17:55.230335Z",
+     "shell.execute_reply": "2026-08-05T21:17:55.229626Z"
     }
    },
    "outputs": [
@@ -1172,7 +1172,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3384d677",
+   "id": "bbb04369",
    "metadata": {},
    "source": [
     "Row 1 comes back at 1.00 and the runner-up at 0.06, which is the margin you want\n",
@@ -1196,13 +1196,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "2ffe0042",
+   "id": "bb85f6ef",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.712391Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.712297Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.714829Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.714364Z"
+     "iopub.execute_input": "2026-08-05T21:17:55.231691Z",
+     "iopub.status.busy": "2026-08-05T21:17:55.231289Z",
+     "iopub.status.idle": "2026-08-05T21:17:55.235216Z",
+     "shell.execute_reply": "2026-08-05T21:17:55.234605Z"
     }
    },
    "outputs": [
@@ -1229,7 +1229,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "16cef27b",
+   "id": "9651ac93",
    "metadata": {},
    "source": [
     "ASE's effective-medium theory is the only calculator matverse ships working. It\n",
@@ -1245,13 +1245,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "3b06b537",
+   "id": "e670a138",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.715695Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.715576Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.718590Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.718207Z"
+     "iopub.execute_input": "2026-08-05T21:17:55.236527Z",
+     "iopub.status.busy": "2026-08-05T21:17:55.236127Z",
+     "iopub.status.idle": "2026-08-05T21:17:55.240457Z",
+     "shell.execute_reply": "2026-08-05T21:17:55.239842Z"
     }
    },
    "outputs": [
@@ -1286,7 +1286,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "83c1c05a",
+   "id": "7e3238c0",
    "metadata": {},
    "source": [
     "Registered, with its provenance attached — the method, the level of theory it\n",
@@ -1300,13 +1300,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "f0f65bdd",
+   "id": "9268b6d1",
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2026-08-05T00:19:29.719292Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.731838Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.731467Z"
+     "iopub.execute_input": "2026-08-05T21:17:55.241780Z",
+     "iopub.status.busy": "2026-08-05T21:17:55.241368Z",
+     "iopub.status.idle": "2026-08-05T21:17:55.267205Z",
+     "shell.execute_reply": "2026-08-05T21:17:55.266391Z"
     }
    },
    "outputs": [
@@ -1398,7 +1398,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c1926b8c",
+   "id": "4d283b8b",
    "metadata": {},
    "source": [
     "Published room-temperature lattice parameters for the seven face-centred cubic\n",
@@ -1408,13 +1408,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "f604f5d9",
+   "id": "ce09a53d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.732685Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.732541Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.893077Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.892648Z"
+     "iopub.execute_input": "2026-08-05T21:17:55.268626Z",
+     "iopub.status.busy": "2026-08-05T21:17:55.268215Z",
+     "iopub.status.idle": "2026-08-05T21:17:55.730331Z",
+     "shell.execute_reply": "2026-08-05T21:17:55.729299Z"
     }
    },
    "outputs": [
@@ -1517,13 +1517,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "d72fde8a",
+   "id": "3371e835",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.894061Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.893969Z",
-     "iopub.status.idle": "2026-08-05T00:19:29.896319Z",
-     "shell.execute_reply": "2026-08-05T00:19:29.895930Z"
+     "iopub.execute_input": "2026-08-05T21:17:55.731730Z",
+     "iopub.status.busy": "2026-08-05T21:17:55.731313Z",
+     "iopub.status.idle": "2026-08-05T21:17:55.735184Z",
+     "shell.execute_reply": "2026-08-05T21:17:55.734501Z"
     }
    },
    "outputs": [
@@ -1544,7 +1544,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d7c376a4",
+   "id": "2ccb5d6b",
    "metadata": {},
    "source": [
     "The relaxed geometry becomes its own **variant** rather than replacing the\n",
@@ -1560,13 +1560,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "41f092da",
+   "id": "5a3f1912",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:29.897107Z",
-     "iopub.status.busy": "2026-08-05T00:19:29.897009Z",
-     "iopub.status.idle": "2026-08-05T00:19:30.244998Z",
-     "shell.execute_reply": "2026-08-05T00:19:30.244601Z"
+     "iopub.execute_input": "2026-08-05T21:17:55.736221Z",
+     "iopub.status.busy": "2026-08-05T21:17:55.736112Z",
+     "iopub.status.idle": "2026-08-05T21:17:56.467204Z",
+     "shell.execute_reply": "2026-08-05T21:17:56.466419Z"
     }
    },
    "outputs": [
@@ -1695,7 +1695,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "04076c94",
+   "id": "4c8f87b8",
    "metadata": {},
    "source": [
     "Worth comparing against measured values rather than accepting:\n",
@@ -1739,20 +1739,20 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "b5522e08",
+   "id": "2d34a066",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:30.245848Z",
-     "iopub.status.busy": "2026-08-05T00:19:30.245755Z",
-     "iopub.status.idle": "2026-08-05T00:19:30.364268Z",
-     "shell.execute_reply": "2026-08-05T00:19:30.363870Z"
+     "iopub.execute_input": "2026-08-05T21:17:56.468622Z",
+     "iopub.status.busy": "2026-08-05T21:17:56.468187Z",
+     "iopub.status.idle": "2026-08-05T21:17:56.730361Z",
+     "shell.execute_reply": "2026-08-05T21:17:56.729306Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f8c748046e0>"
+       "<matplotlib.legend.Legend at 0x7f7e3faf49b0>"
       ]
      },
      "execution_count": 21,
@@ -1795,7 +1795,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "78feaa69",
+   "id": "7fa7148e",
    "metadata": {},
    "source": [
     "Aluminium is the outlier, platinum is high, and the middle five track closely.\n",
@@ -1814,13 +1814,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "77626f1f",
+   "id": "625533c5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:30.365126Z",
-     "iopub.status.busy": "2026-08-05T00:19:30.364978Z",
-     "iopub.status.idle": "2026-08-05T00:19:30.503208Z",
-     "shell.execute_reply": "2026-08-05T00:19:30.502837Z"
+     "iopub.execute_input": "2026-08-05T21:17:56.731775Z",
+     "iopub.status.busy": "2026-08-05T21:17:56.731376Z",
+     "iopub.status.idle": "2026-08-05T21:17:57.032323Z",
+     "shell.execute_reply": "2026-08-05T21:17:57.031299Z"
     }
    },
    "outputs": [
@@ -1960,9 +1960,85 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6239b76e",
+   "id": "3191ddfb",
    "metadata": {},
    "source": [
+    "### What those four numbers are hiding\n",
+    "\n",
+    "`mv.prop.elastic` computes the whole 6×6 stiffness tensor and stores it in\n",
+    "`obsm`. What it puts in `obs` is four **isotropic averages** — bulk, shear and\n",
+    "Young's moduli, and a Poisson ratio. Those are the Voigt-Reuss-Hill numbers a\n",
+    "screen ranks on, and they are precisely the part of the tensor that survives\n",
+    "averaging the direction dependence away.\n",
+    "\n",
+    "`mv.pl.elastic` draws what is left out: Young's modulus as a function of\n",
+    "direction, in the three principal planes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "276398e9",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-08-05T21:17:57.033728Z",
+     "iopub.status.busy": "2026-08-05T21:17:57.033331Z",
+     "iopub.status.idle": "2026-08-05T21:17:58.096815Z",
+     "shell.execute_reply": "2026-08-05T21:17:58.095951Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1300x460 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 451,
+       "width": 1302
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "fig, axes = plt.subplots(1, 3, figsize=(13, 4.6),\n",
+    "                         subplot_kw={\"projection\": \"polar\"})\n",
+    "for ax, name in zip(axes, [\"Cu\", \"Al\", \"Ni\"]):\n",
+    "    mv.pl.elastic(metals, level=\"emt\", row=name, ax=ax)\n",
+    "fig.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5dc2489a",
+   "metadata": {},
+   "source": [
+    "The four-lobed shape is what a cubic crystal looks like: stiffest along the body\n",
+    "diagonal, softest along the cube axes. `ax._matverse_anisotropy` is the ratio of\n",
+    "the largest directional modulus to the smallest over the whole sphere, and it is\n",
+    "exactly 1 for an isotropic solid.\n",
+    "\n",
+    "For copper the measured constants — C₁₁ = 168.4, C₁₂ = 121.4, C₄₄ = 75.4 GPa —\n",
+    "give **67 GPa along [100] and 191 along [111]**, a factor of 2.9, where the\n",
+    "isotropic average is a single number near 120. A screen ranked on that average\n",
+    "is treating a material whose stiffness varies threefold with direction as\n",
+    "though it did not.\n",
+    "\n",
+    "```{note}\n",
+    "The compliance tensor carries Voigt factors that the stiffness tensor does not\n",
+    "— a half on every shear index and a quarter on a shear–shear pair. Inverting the\n",
+    "6×6 and expanding it without them produces a tensor that looks reasonable and\n",
+    "reports an anisotropy that is not there; an isotropic solid stops being a\n",
+    "circle. The suite has a test that deliberately drops the factors and asserts\n",
+    "that the result *does* go wrong, so the check cannot quietly stop checking.\n",
+    "```\n",
+    "\n",
     "Within 1.1% across seven metals and two independent implementations, and under\n",
     "0.4% for six of them.\n",
     "\n",
@@ -1989,14 +2065,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "id": "8c2abd20",
+   "execution_count": 24,
+   "id": "8d40fe07",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:30.503988Z",
-     "iopub.status.busy": "2026-08-05T00:19:30.503898Z",
-     "iopub.status.idle": "2026-08-05T00:19:30.633245Z",
-     "shell.execute_reply": "2026-08-05T00:19:30.632831Z"
+     "iopub.execute_input": "2026-08-05T21:17:58.097952Z",
+     "iopub.status.busy": "2026-08-05T21:17:58.097830Z",
+     "iopub.status.idle": "2026-08-05T21:17:58.380333Z",
+     "shell.execute_reply": "2026-08-05T21:17:58.379308Z"
     }
    },
    "outputs": [
@@ -2006,7 +2082,7 @@
        "Text(0.5, 1.0, 'energy-volume curves')"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2035,7 +2111,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4fd71244",
+   "id": "8af9314b",
    "metadata": {},
    "source": [
     "## Off the zero-kelvin hull\n",
@@ -2049,14 +2125,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "id": "eacb8d79",
+   "execution_count": 25,
+   "id": "a3d3e856",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:30.634115Z",
-     "iopub.status.busy": "2026-08-05T00:19:30.633964Z",
-     "iopub.status.idle": "2026-08-05T00:19:30.869375Z",
-     "shell.execute_reply": "2026-08-05T00:19:30.868986Z"
+     "iopub.execute_input": "2026-08-05T21:17:58.381738Z",
+     "iopub.status.busy": "2026-08-05T21:17:58.381339Z",
+     "iopub.status.idle": "2026-08-05T21:17:58.894358Z",
+     "shell.execute_reply": "2026-08-05T21:17:58.893305Z"
     }
    },
    "outputs": [
@@ -2152,7 +2228,7 @@
        "6   Pt                   0.000022       2.404330                 372.861639"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2167,7 +2243,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5757b4b1",
+   "id": "d798b601",
    "metadata": {},
    "source": [
     "| volumetric expansion, /K | matverse | experiment |\n",
@@ -2199,14 +2275,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "id": "0e2742ab",
+   "execution_count": 26,
+   "id": "2daf3b8d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:30.870199Z",
-     "iopub.status.busy": "2026-08-05T00:19:30.870107Z",
-     "iopub.status.idle": "2026-08-05T00:19:31.003751Z",
-     "shell.execute_reply": "2026-08-05T00:19:31.003324Z"
+     "iopub.execute_input": "2026-08-05T21:17:58.895836Z",
+     "iopub.status.busy": "2026-08-05T21:17:58.895419Z",
+     "iopub.status.idle": "2026-08-05T21:17:59.178723Z",
+     "shell.execute_reply": "2026-08-05T21:17:59.177902Z"
     }
    },
    "outputs": [
@@ -2216,7 +2292,7 @@
        "Text(0.5, 1.0, 'phonon density of states')"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2244,7 +2320,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "614d974b",
+   "id": "27825867",
    "metadata": {},
    "source": [
     "The phonons are also everything thermodynamics needs. `mv.prop.free_energy`\n",
@@ -2255,14 +2331,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "id": "13527c96",
+   "execution_count": 27,
+   "id": "2331d3f4",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:31.004582Z",
-     "iopub.status.busy": "2026-08-05T00:19:31.004488Z",
-     "iopub.status.idle": "2026-08-05T00:19:31.010808Z",
-     "shell.execute_reply": "2026-08-05T00:19:31.010465Z"
+     "iopub.execute_input": "2026-08-05T21:17:59.179831Z",
+     "iopub.status.busy": "2026-08-05T21:17:59.179716Z",
+     "iopub.status.idle": "2026-08-05T21:17:59.197333Z",
+     "shell.execute_reply": "2026-08-05T21:17:59.196300Z"
     }
    },
    "outputs": [
@@ -2350,7 +2426,7 @@
        "6   Pt                      -0.0442                   0.0004"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2364,7 +2440,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c52788e0",
+   "id": "77321764",
    "metadata": {},
    "source": [
     "### The q-points a supercell cannot hold\n",
@@ -2393,14 +2469,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "id": "6b620729",
+   "execution_count": 28,
+   "id": "68724b92",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:31.011512Z",
-     "iopub.status.busy": "2026-08-05T00:19:31.011429Z",
-     "iopub.status.idle": "2026-08-05T00:19:35.772513Z",
-     "shell.execute_reply": "2026-08-05T00:19:35.771836Z"
+     "iopub.execute_input": "2026-08-05T21:17:59.198799Z",
+     "iopub.status.busy": "2026-08-05T21:17:59.198372Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.037997Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.037162Z"
     }
    },
    "outputs": [
@@ -2434,7 +2510,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5c4e24dd",
+   "id": "2db7f101",
    "metadata": {},
    "source": [
     "Interpolation is also the only way to get a *dispersion*. A supercell holds a\n",
@@ -2449,14 +2525,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "id": "903db35e",
+   "execution_count": 29,
+   "id": "afd97c88",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:35.773855Z",
-     "iopub.status.busy": "2026-08-05T00:19:35.773731Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.189545Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.189119Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.039345Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.039119Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.464305Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.463938Z"
     }
    },
    "outputs": [
@@ -2494,7 +2570,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "49df8a64",
+   "id": "8eb50411",
    "metadata": {},
    "source": [
     "That is the check a hull cannot make, and the reason the two cells above are\n",
@@ -2517,14 +2593,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "id": "ad5e0605",
+   "execution_count": 30,
+   "id": "4ec844aa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:36.190384Z",
-     "iopub.status.busy": "2026-08-05T00:19:36.190292Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.440465Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.439906Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.465349Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.465174Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.721827Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.721468Z"
     }
    },
    "outputs": [
@@ -2560,7 +2636,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4d59d93b",
+   "id": "ec1bd1c7",
    "metadata": {},
    "source": [
     "The dashed line at zero is where `mv.pl.bands` would normally draw the Fermi\n",
@@ -2585,14 +2661,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "id": "ffc11a76",
+   "execution_count": 31,
+   "id": "b8ed923b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:36.441668Z",
-     "iopub.status.busy": "2026-08-05T00:19:36.441549Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.456956Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.456461Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.723303Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.723127Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.737139Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.736805Z"
     }
    },
    "outputs": [
@@ -2629,7 +2705,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bd90b4a5",
+   "id": "191ac400",
    "metadata": {},
    "source": [
     "The cell above prints a fallback rather than a table in the rendered docs,\n",
@@ -2681,14 +2757,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "id": "367557e8",
+   "execution_count": 32,
+   "id": "82bbfc2a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:36.458202Z",
-     "iopub.status.busy": "2026-08-05T00:19:36.458080Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.461768Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.461327Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.738142Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.737984Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.741215Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.740909Z"
     }
    },
    "outputs": [
@@ -2701,7 +2777,7 @@
        " 'n_total': 7}"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2717,14 +2793,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "id": "1d880d04",
+   "execution_count": 33,
+   "id": "0d0c8c05",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:36.462777Z",
-     "iopub.status.busy": "2026-08-05T00:19:36.462669Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.468592Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.468162Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.742192Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.742036Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.747750Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.747434Z"
     }
    },
    "outputs": [
@@ -2820,7 +2896,7 @@
        "6   Pt                       3.0             278.4                 False"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2832,7 +2908,63 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4eca2d99",
+   "id": "c1d2c192",
+   "metadata": {},
+   "source": [
+    "A threshold is a decision, and a table of seven rows does not show whether it\n",
+    "was a sensible one. `mv.pl.distribution` puts the cut where it can be seen\n",
+    "against the spread it is cutting — `by=` overlays one histogram per category on\n",
+    "**shared bins**, because two distributions plotted on different bins are not\n",
+    "being compared."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "65a4c42d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-08-05T21:18:08.748664Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.748502Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.867281Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.866918Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='bulk_modulus_emt', ylabel='count'>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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AmBbBCAAAAAAAMC2CEQAAAAAAYFoEIwAAAAAAwLQIRgAAAAAAgGkRjAAAAAAAANMiGAEAAAAAAKZFMAIAAAAAAEyLYAQAAAAAAJgWwQgAAAAAADAtghEAAAAAAGBaBCMAAAAAAMC0CEYAAAAAAIBpEYwAAAAAAADTIhgBAAAAAACmRTACAAAAAABMi2AEAAAAAACYFsEIAAAAAAAwLYIRAAAAAABgWgQjAAAAAADAtAhGAAAAAACAaRGMAAAAAAAA0yIYAQAAAAAApkUwAgAAAAAATItgBAAAAAAAmBbBCAAAAAAAMC2CEQAAAAAAYFoEIwAAAAAAwLQIRgAAAAAAgGkRjAAAAAAAANMiGAEAAAAAAKZFMAIAAAAAAEyLYAQAAAAAAJiWY3k3UNGcOXNGe/fuVXR0tLy8vBQUFKSgoCCbrnHp0iUdO3ZMUVFRio6OlouLiwICAtSlSxd5eHgUOv/06dNas2ZNkdbq0qWLevTocZMdAwAAAABQNRGM/M+JEyf02GOPafv27Xn2BQUFaeHCheratWuJ61+9elXTpk3Tjh07dPLkyXzHODs767777tOcOXNUr169AmsdOXJE06ZNK9K606dPJxgBAAAAAKAABCOSDh8+rJ49eyo+Pl52dnbq16+fWrRoofDwcG3cuNGy/9tvv9XAgQNLtEZMTIw+/vhjy2s/Pz9169ZNvr6+SkhI0E8//aTQ0FAtW7ZM33//vbZu3arWrVsXWnfs2LHy9fUtcH/Pnj1L1C8AAAAAAGZg+mAkPT1dI0aMUHx8vNzd3bV+/fpcYcLx48fVv39/Xbx4UaNHj9bp06dVu3btEq1lZ2enkSNH6plnnlH37t1z7cvOztacOXP00ksv6fLlyxo1apQOHjwoJycnqzWfeuopBQcHl6gfAAAAAADMzvQ3X128eLHOnDkjSZo9e3aeMyxatmypJUuWSJISEhL05ptvlmgdb29v7d27VytXrswTikiSvb29XnzxRY0fP16S9Mcff2jz5s0lWgsAAAAAABSN6YORZcuWSZI8PDz04IMP5jtmwIABlstavvjiC2VnZxd7HW9vb3Xo0KHQcWPGjLFsh4SEFHsdAAAAAABQdKa+lCYuLk579+6VJPXq1UvVq1cvcOzAgQN19OhRXb58Wb/99ps6depUKj25urpatpOTkwsdf+bMGZ09e1YxMTFyd3dXQECAgoOD5ebmVir9AQAAAABQlZg6GDly5IgMw5AktW/f3urYW2+9Nde80gpG9uzZY9kODAwsdPz999+f571q1app4sSJeuONN1SrVi2b9gcAAAAAQFVi6mDkxr1FJKlhw4ZWxwYEBOQ7z5aSk5M1f/58SZKjo6MGDx5sdXydOnXUtm1b+fv7y93dXefPn9f27duVmJioRYsWaf369dqyZYtuueWWYvcSHh5udX9kZGSxawIAAAAAUNGYOhhJSEiwbNesWdPq2Jz7c86zpalTp+r8+fOSpEcffbTAsKZVq1bauXOnunXrJjs7u1z74uPj9cILL2jhwoW6ePGiBg8erCNHjli9TCg//v7+JfsQAAAAAABUIqa++WrOe3hUq1bN6lgXF5d859nKggULtHDhQknXg485c+YUOLZ58+bq3r17nlBEun4T2QULFmjixImSpLNnz2rBggU27xcAAAAAgKrA1MFIzrMo0tPTrY5NS0vLd54trFy5Uk8++aQkqW7dulqzZs1N3zx11qxZsre//tf71VdfFXt+WFiY1T88MQcAAAAAUBWY+lKaGjVqWLYTExOtjs25P+e8m7VmzRqNGzdO2dnZqlWrln788Uc1a9bspuv6+vqqVatWOnLkiA4dOlTs+Q0aNLjpHgAAAAAAqOhMfcZIo0aNLNthYWFWx164cCHfeTdj3bp1GjVqlDIzM+Xj46MffvhBrVu3tklt6frNWaXrl/4UdkYMAAAAAABmZOpgpG3btpbt33//3erYw4cPW7bbtGlz02t/++23uvfee5WRkWEJRdq1a3fTdXOKi4uTdP3+KM7OzjatDQAAAABAVWDqYKROnToKCgqSJG3fvl0ZGRkFjt28ebMkycvLS506dbqpddevX6+RI0cqPT1dPj4++vHHH9W+ffubqvlncXFxOnLkiCSpZcuWNq0NAAAAAEBVYepgRJLGjRsnSYqJidGXX36Z75hff/1Vv/32myRp5MiRcnJyKvF6GzZs0F/+8pdcoYitzxSRpH/+85/KzMyUJA0bNszm9QEAAAAAqApMH4w88cQT8vPzkyRNmTIlzyU1EREReuCBByRdvyTl1VdfzbfOyZMnNXfuXM2dO1c//fRTvmM2bdqkESNGKC0tTbVq1dLWrVuLHYrExcVp27ZtltDjzzIyMvTPf/5T77//viSpdu3aeuaZZ4q1BgAAAAAAZmHqp9JIkpubm7788ksNGDBAsbGx6ty5s0aOHKmWLVsqLCxMK1as0NWrV2VnZ6clS5bI398/3zqHDx/WtGnTJElTp05Vr169cu3/448/NGzYMMtjfwcNGqTNmzdbLtHJT7NmzTR06NBc70VERKhv377y8PDQ7bffrvr166tu3bpycXHR+fPntWHDBoWHh0uSPDw8tG7dOnl6epb0ywMAAAAAQJVm+mBEknr27Klt27bpwQcf1LFjx/TZZ5/l2u/n56cFCxZoyJAhJV7jwoULSk1NtbxetmxZoXOGDh2aJxjx8fFR//79tXPnTq1fvz7feQ4ODho+fLjmzp2rgICAEvcMAAAAAEBVRzDyP8HBwTp69Kh+/fVXhYSEKCYmRp6engoKClK/fv3k6Gj9S9WiRQtNnTpVktS7d+88+wMDAy37iyq/p9/4+vpqy5YtSklJ0a5du3Tu3DlFRUUpKSlJnp6eatasmbp37255VC8AAAAAACgYwUgOdnZ26t69u7p3717suW3bttXcuXML3N+iRQur+4urevXq6tu3r83qAQAAAABgRqa/+SoAAAAAADAvghEAAAAAAGBaBCMAAAAAAMC0CEYAAAAAAIBpEYwAAAAAAADTIhgBAAAAAACmRTACAAAAAABMi2AEAAAAAACYFsEIAAAAAAAwLYIRAAAAAABgWgQjAAAAAADAtAhGAAAAAACAaRGMAAAAAAAA0yIYAQAAAAAApkUwAgAAAAAATItgBAAAAAAAmBbBCAAAAAAAMC2CEQAAAAAAYFoEIwAAAAAAwLQIRgAAAAAAgGkRjAAAAAAAANMiGAEAAAAAAKZFMAIAAAAAAEyLYAQAAAAAAJgWwQgAAAAAADAtghEAAAAAAGBaBCMAAAAAAMC0CEYAAAAAAIBpEYwAAAAAAADTIhgBAAAAAACmRTACAAAAAABMi2AEAAAAAACYFsEIAAAAAAAwLYIRAAAAAABgWgQjAAAAAADAtAhGAAAAAACAaRGMAAAAAAAA0yIYAQAAAAAApkUwAgAAAAAATItgBAAAAAAAmBbBCAAAAAAAMC2CEQAAAAAAYFoEIwAAAAAAwLQIRgAAAAAAgGkRjAAAAAAAANMiGAEAAAAAAKZFMAIAAAAAAEyLYAQAAAAAAJgWwQgAAAAAADAtghEAAAAAAGBaBCMAAAAAAMC0CEbykZGRocjISKWmplaatcqyZwAAAAAAqgqCkf/Jzs7Wv//9b912222qVq2a/Pz8VL16dTVv3lwzZ860aeBgq7XKsmcAAAAAAKoighFJSUlJ6tOnj5588kkdOHBAdnZ2qlu3rpycnHTq1CnNmDFDt956q6KioirMWmXZMwAAAAAAVRXBiKSJEydqx44dkqSnn35a0dHRioqK0tWrVzVnzhw5ODjo+PHjGjx4sLKysirEWmXZMwAAAAAAVZXpg5GtW7dq9erVkqQHHnhA77//vry9vSVJrq6uev755/Xaa69Jkn777TctWbKk3Ncqy54BAAAAAKjKTB+M/Pvf/5YkOTg4WMKEP5s6dap8fHwkSfPnzy/3tcqyZwAAAAAAqjJTByNpaWnauHGjJKlLly7y9/fPd5yLi4vuvvtuSdKhQ4d07ty5clurLHsGAAAAAKCqM3UwcuzYMaWkpEi6HjJY061bN8v2/v37y22tsuwZAAAAAICqzrG8GyhPx48ft2w3btzY6tjAwEDL9rFjx8ptrbLqOTw83Or+sLAwy3ZkZGSxapeHyCspio+JUla2Ud6toAAO9naKvOgou+Tq5d0KCnM1UopOkLIzy7sT5McxTYqI4u+oonNMU2ZElC7FXVNWZkZ5d4MC2Dk6ySsiUtUznMu7FaDS4+fxiq+y/Txer149OTraJtIwdTASGxtr2a5du7bVsbVq1bJsx8XFldtaZdVzQZfo5Kdz587Fqg0UZHZ5NwBUGW+XdwMoEv6eKoXpn5Z3BwBQZirTz+NhYWFq0KCBTWqZ+lKaa9euWbZdXFysjnV1dc13XlmvVZY9AwAAAABQ1Zn6jBEHBwfLdnZ2ttWxOffnnFfWa5VVzzkvlclPamqqjh8/rrp166p27do2O4XJDCIjIy1n2YSEhMjX17ecOwKKh2MYlR3HMCo7jmFUdhzDsIV69erZrJap/zXr7u5u2U5OTrY6Nuf+nPPKeq2y6rkopyQ1bdq0WDWRl6+vr81O/wLKA8cwKjuOYVR2HMOo7DiGURGY+lKanAlTYTcQjYiIyHdeWa9Vlj0DAAAAAFDVmToYad26tWX71KlTVsfm3J9zXlmvVZY9AwAAAABQ1Zk6GGnSpInq1KkjSfr555+tjt2xY4ckydHRUZ06dSq3tcqyZwAAAAAAqjpTByP29vYaMWKEJOnYsWPat29fvuMuXbqk77//XpLUp08f+fj4lNtaZdkzAAAAAABVnamDEUmaMmWKnJycJElPPfWU0tLScu03DEPPPPOM0tPTJUnTp0/Pt05ycrJCQ0MVGhqqK1eulOpatqoDAAAAAIDZmT4YadasmWbMmCFJ2r17t3r27Km1a9fqxIkT+uGHH3TPPfdoxYoVkqSJEyeqX79++dbZsGGDAgMDFRgYqDfeeKNU17JVHQAAAAAAzM7Uj+u94ZVXXlFqaqpmz56tkJAQDRs2LM+YiRMnavHixRVmrbLsGQAAAACAqsrOMAyjvJuoKA4fPqylS5cqJCREMTEx8vT0VFBQkMaPH6+ePXtanbtx40ZNnjxZkvTII4/opZdeKrW1SqMOAAAAAABmRDACAAAAAABMy/T3GAEAAAAAAOZFMAIAAAAAAEyLYAQAAAAAAJgWwQgAAAAAADAtghEAAAAAAGBaBCMAAAAAAMC0CEYAAAAAAIBpEYwAAAAAAADTcizvBoDKKi0tTZGRkUUaW6NGDfn4+BS5dmZmpmJiYlSzZk25urqWtEUgl6tXr+rq1auSJA8PD3l5eZWoTlZWlqKjo+Xu7i53d/cS92OrOjCPxMRExcbGSpLc3d1Vq1atQudkZ2frwoULRapfrVo1+fr6Frmf7OxsxcTEyMXFRTVr1izyPJiTYRiKjY1Vdna2vLy85OTkdNO1HBwcSvy93JZ1YB5xcXFKT0+Xt7e3nJ2dizwvPDxcmZmZhY6zt7dXw4YNi92TYRjF+lkbyMMAUCI///yzIalIfx566KEi1Vy6dKkRHBxs2NvbW+Y2atTIePHFF42EhIRS/kSoSjIzM42ffvrJmDt3rnHfffcZTZo0yXVMTp06tdg1V65cafTq1ctwcHCw1PHz8zOeffZZIyYmpszroOr75ZdfjPfff9+4//77jZYtWxp2dnaWY2bcuHFFqnHlypUif6/u0qVLkWpu3LjRGDBggOHk5GSZW6tWLePRRx81wsLCbuYjowo5fPiw8d577xkjRoww/P39cx0vjo6Oxm233Wa89dZbRmJiYpFr7ty50xg6dKjh4uJiqeXh4WGMHz/eOHHiRJnXQdV24sQJY968ecbo0aONRo0aGc7Ozpbjxd7e3mjbtq3xz3/+04iNjS20Vv369Yv0fdjNza1Ive3fv98YNWqU4ebmlmvu6NGjjYMHD97sR4cJEYwAJZQzGKlTp44REBBQ4J/p06dbrZWenm7cc889lnp2dnZG3bp1c/0HqGHDhsaZM2fK6NOhsouMjMzzw0b16tVLFIxkZWUZ48ePz3V81q5dO9cP1HXq1DEOHTpUJnVgHtaO4ZIEI56enla/Vw8bNqzQelOnTs3VU61atQxXV9dc/7jcvn37zX50VAEdOnTIdazY2dkZ3t7eRp06dXK9HxAQUKTve3PmzMn1ixNvb2+jRo0auf7/8fXXX5dZHVR9AwYMyPN92NPT06hXr16uoLpevXrGzp07rda6EYy4ublZ/T7cqlWrQvtatGiR4ejomOv7roeHh+W1k5OT8cknn9jqywCTIBgBSihnMPLtt9/eVK1HH33UUuuvf/2rERUVZRiGYaSlpRnz5883qlWrZkgymjVrZiQnJ9uifVRx0dHRRs+ePY0pU6YYX3zxhXHy5Elj//79JQpGXn75Zcu8ESNGGBcuXDAMwzAyMjKMZcuWGe7u7oYkw9fX1+pvjWxVB+bRtWtX46mnnjL+85//GEePHjUuXrx4U8HIrFmzbqqfDz/80FKrb9++xsmTJw3DMIzs7GxjzZo1Rq1atSw/pJ87d+6m1kLl16FDB8Pe3t64++67ja+++sq4cuWKZV9ERIQxZcoUyz8u69SpY/WMuZUrV1qOvQ4dOuQKUn788UfD39/fkGS4uLgYBw4cKPU6MIcbwUjfvn2NL774woiOjrbsi4mJMf7+979bAoqaNWsa58+fL7DWjWCkqN+7C/LDDz9Ygr2WLVsau3fvtuzbtWuX0aJFC0OS4eDgQEiNYiEYAUrIVsHIgQMHLD8Y3XPPPfmOWbhwoWWtN954o8RrwdwOHDhQ7GDk7NmzljOXunfvbmRlZeUZ89VXX1nq/u1vfyvVOjC3nGdClXUwEhsba3h6ehqSjFtuucVISUnJM2bHjh2W7+djxowp8VqoGl566SXj999/tzrmH//4h+X4fPHFF/Mdk5KSYgks/Pz8jLi4uDxjjh49avklSp8+fUq1Dsxj5syZRkhIiNUx8+bNsxzDDz/8cIHjbBGMZGVlGa1bt7acuRIeHp5nzIULF4yaNWsakox27doZ2dnZJV4P5sJTaYBytmDBAhmGIUl644038h3z8MMPq1GjRnnGA6Xt448/Vnp6uiRp5syZsrfP+5+Nv/zlL7rtttskSUuWLFFaWlqp1QHKy+eff265efGrr74qFxeXPGN69Oihu+66S5K0cuVKxcTElGWLqGDeeOMNtWnTxuqY5557znIDy02bNuU75ttvv1VYWJhlfH43SW3VqpXGjRsnSdq2bZuOHz9eanVgHq+88oo6depkdcxjjz0mb29vSQUfw7by008/6ejRo5Kkxx9/XPXr188zxt/fX4899pgk6dChQ/rll19KtSdUHQQjgI2kp6crMjJSV69eLVZwsWbNGklS8+bN1bZt23zH2Nvba8SIEZKu39V73759N90vUBTffPONJMnHx0e9e/cucNzIkSMlSQkJCdq6dWup1QFuVmZmpi5dumR5OkhR3TiGHR0dNXTo0ALH3TiGs7Ky9O23395cs6jy3NzcVKdOHUlSVFRUvmNuHHvS/x9f+cm5L+ccW9cBcnJwcLA8RaagY/jPsrOzFR0drcuXLxfpSTU3cAyjNBGMADYwefJkubq6ys/PT15eXvLw8NDdd9+ttWvXWg1JwsPDdfnyZUlSly5drK7RrVs3y/b+/ftt0zhgRXJysk6cOCFJ6ty5s+zs7Aoca+34tFUd4Ga99957cnd3V7169VSrVi25urqqZ8+eWrJkieWMpoIcOHBAktS2bVurj1HnGEZxJCcn69KlS5JU4KNGbxxHvr6+8vf3L7BWYceereoAOWVlZVkeiV6Ux+Vu2LBBnp6eqlOnjurWrSsXFxd16NBBc+bMUUJCgtW5N45HFxcXtWvXrsBxt912m6pVq5ZrDlAYghHABsLDw1WtWjX5+vrKyclJiYmJ2rBhg4YNG6YhQ4YU+I0+5ymqjRs3trpGYGCgZfvYsWO2aRyw4uTJk5bfqN/M8WmrOsDNuvEPUF9fX7m4uCgtLU0///yzJk2apODgYIWGhuY7LyoqynIZTWHHcKNGjSzhH8cwCvPZZ58pIyNDkvI9my4zM1OnT5+WVPix5+HhYbk85s/Hnq3qAH+2du1axcXFScr/GP6zK1euKCUlRb6+vnJ3d1dWVpb279+vF154Qa1bt9aePXsKnHvj5+aAgIB8L8m9IedZLBzDKCqCEaCE3NzcNHnyZG3evFmxsbFKSkpSRESEEhMT9e2331oui/nuu+80cuTIfE/Zjo2NtWzXrl3b6nq1atWybN/4DxBQmmx1fHKcozw5ODho9OjR+uabbxQVFaWUlBRFRETo2rVr2rlzp/r37y/p+hkhAwYMsAQgORXnGK5WrZrc3d0lcQzDusuXL+vll1+WJDk7O+uZZ57JMyY+Pl5ZWVmSCj/2pP//HvrnY89WdYCcEhMTNXXqVEmSnZ2dnnvuuQLH3nHHHVq2bJnOnz+v1NRUy8/Mv//+uyZMmCDp+i8aBw4cqJMnT+Zb48qVK5I4hlE6CEaAErr11ls1f/583XHHHZabTknXfygePHiw9uzZYzkddcuWLfrss8/y1Lh27ZplO78b+eWU89TtnPOA0lKc47N69eqW35L/+fi0VR2gJGrUqKHly5dr2LBhqlu3ruX4cnBwUPfu3bV582bLD+UnT57Um2++madGcY5h6f+/X3MMoyDp6ekaMWKE5Qa9r732mpo0aZJnnK2OPY5h2Fp2drbGjBljOdNuypQplhuo52fp0qUaP368GjZsKAcHB8v7bdq00X/+8x/Nnj1bknT16lU9++yzeeYnJSVZfslYnGM4IyOj0EslAYlgBCg11atX15IlSyw/hC9evDjPmJz/YSjsJoA59+ecB5SW4hyfxvXHv+eZZ8s6QGmws7PTvHnzLAH3kiVL8hynxTmGc47hGEZ+srOzNWHCBMvTMoYPH67p06fnO9ZWxx7HMGztiSee0Pr16yVdv4TmRrBRUtOnT7cEKxs3blR4eHiu/SU9hiVZvewGuIGjBChFLVu2tNwcavfu3XnuvH3jdGvp+g3YrMm5P+c8oLTY6vjkOEdFV6NGDQ0aNEjS9dOu/3xNenGO4ZxjOIbxZ4Zh6KGHHtKKFSskSXfeeae+/PLLAm9Kbatjj2MYtjR16lQtXLhQkhQcHKx169bJ0dHxpuuOGjXKsv3nx+y6uLhY1ijOMZxzHmANwQhQym6cGpuZmZnrOnVJqlevnmU7MjLSap2IiIh85wGlxVbHJ8c5KoOclzH8+ZGTxTmGExMTlZSUlGceYBiGHn74YX366aeSpL59+2rNmjWWp2fkp2bNmqpevbqkwo+9nGP+fOzZqg4wffp0vfPOO5Kkjh076vvvv1eNGjVsUtva92FJqlu3rqSiHcM3fp7gGEZREYwApezG3eYlycnJKde+1q1bW7ZPnTpltU7O/TnnAaWladOmcnZ2lnRzx6et6gClydr3ak9PT/n5+Ukq/BjOedNAjmHcYBiGHn30US1ZskSS1KdPH3377beWsKIg9vb2uuWWWyRJp0+ftlxqmJ+LFy9afkv+52PPVnVgbi+++KLeeustSddDkS1btsjDw8Nm9a19H5b+/3gMDw9XSkpKgXWSk5MtwQjHMIqKYAQoZb///ruk60+xufH4uxu8vLzUsmVLSddPGbT2g8qOHTss2127di2FToHcHB0d1blzZ0nS3r17lZaWVuBYa8enreoApenG92pJatCgQZ79N26mffLkSctjf/PDMYw/MwxDkydPttxrrE+fPvruu+9y3VTdmhvHXnx8fK7j9M8KO/ZsVQfm9PLLL1vuI9KhQwdt2bJFnp6eNl2jqN+Hs7KytGvXrgLr/PLLL5anMHEMo6gIRoBStGnTJp07d07S9VNm87uGeOTIkZKkS5cuadOmTfnWSUpK0urVqyVdfxpOfneuB0rDjeMzJSVFq1atyndMZmamPv/8c0mSv7+/JQQpjTpAaTh37py+//57SVJgYKAaN26cZ8yNY1iS/vvf/xZY6z//+Y+k6/ctGTBggI07RWVjGIaeeOIJffTRR5Ku/yxQnFBEyn3sLVu2rMBxN449BwcHDR8+vNTqwHxeffVVyxO7OnbsqB9++MHmoUhycrLl2HNyclKvXr3yjCnuMfznOYBVBoBiy8rKMjIzM62OOX78uOHr62tIMiQZ27Zty3dcZGSk4e7ubkgyWrVqZSQmJuYZM3nyZEud5cuX2+IjwIQOHDhgOY6mTp1apDnx8fFG7dq1DUmGv7+/ERMTk2fMq6++aqk7b968Uq0Dc4uMjLQcI+PGjSvSnLS0NKv7o6Ojjdtuu63QYy89Pd1o1qyZIcnw8vIyQkND84z597//banzyiuvFKk/VG1PPPGE5Zjo16+fkZycXKI6wcHBhiTDxcXFOHToUJ79q1evtqwzadKkUq8D85gxY4blmOjUqZNx5cqVYtco7PtwSkqKMWLECMs6jz32WIFj7777bkOS4eDgYOzYsSPP/m3bthn29vaGJGPYsGHF7hXmZWcYVs7dB5CvqKgotWrVSgMGDFC/fv3k7++vunXrys3NTeHh4Vq/fr0++ugjXbt2TdL1u3fPnTu3wHoLFizQ448/Lklq27atXn31VbVt21aXLl3SggULLHevHzx4sL799tvS/4CoEi5fvpzrzu1//PGH7r77bknSww8/rJdeeinX+IYNG+b7SLuVK1fqvvvuk2EYatKkif7xj3+oQ4cOiouL09KlSy3XzN9+++3atm1bgXd/t1UdmEdsbKwSExMtr6Ojoy1nEg0bNkzvvvturvH169fPc116w4YNFRQUpAEDBqhx48aqW7euPDw8FBMTo61bt+rDDz+0XBpz9913a82aNQUee1u3btXAgQOVkZEhPz8/vfbaa+ratauSkpK0fPlyvf/++8rOzlabNm20a9cunuhhcn/729/03nvvSZKCgoK0fPnyQu8pEhAQkO/ZpQcPHtTtt9+upKQkeXl56R//+If69OmjjIwMrV27VrNmzVJGRoYaNmyovXv3qk6dOvnWt1UdmMObb76pl19+WdL1G6OuXr260HuK+Pv753nM8x133KH09HQNGjRILVu2VN26deXj46OEhATt3r1bH374oU6cOCHp+j1Bdu7cWeAZKadPn1ZwcLBiY2Pl5uamV199VQMHDpQkff/99/rnP/+p5ORk1a5dW3v27FFgYOBNfhVgGuWbywCV0+XLlw1HR0dLsl3Qn+rVqxtvv/22kZ2dXWjNf/3rX4azs3OBtYYNG2YkJSWVwadDVXHjtypF/WPtt0Aff/yx4erqWuDcfv36GXFxcYX2ZKs6MIeHHnqoWMfwsWPH8tSoX79+ofMcHByMp59+2khJSSm0p9WrVxuenp4F1urcubMRHh5eGl8OVDIeHh7FOn4lWT0Gf/zxR6NevXoFzm3VqpVx/PjxQvuyVR1UfU2aNCn2MRwWFpanzoABA4o0d8SIEUZ0dHShfYWEhBgBAQEF1gkMDDT27dtXGl8SVGGcMQKUUEJCgrZu3aqtW7fqzJkzioqKUkJCgjw8PNSkSRP16NFDY8eOlbe3d5FrnjhxQkuXLtWvv/6qS5cuqWbNmmrdurXGjBnDteootoceekg//vhjkccfPnxYNWvWLHB/aGioli5dqp9++klRUVFyc3NTy5YtNWrUKA0ZMiTf33KWZh1UfS+88IKWL19e5PE//vhjnnswpaWl6eeff9YPP/ygY8eOKSoqSnFxcXJ3d5e/v7+6deumsWPHqmHDhkVeJyoqSkuXLtUPP/ygiIgIubi4qGnTphoxYoRGjRqV57elMKegoCAlJCQUa86JEyesPr73ypUr+vTTT/X9998rPDxcDg4OCgwM1NChQzVu3Dirc0ujDqq23r17KzQ0tFhzdu/enecRuVlZWdq7d682b96sw4cPKzIyUtHR0XJxcZGvr686deqkUaNGKSgoqMjrXLt2TcuWLdP69et1/vx52dnZqWHDhho8eLAmTJggNze3YvUNEIwAAAAAAADT4qk0AAAAAADAtAhGAAAAAACAaRGMAAAAAAAA0yIYAQAAAAAApkUwAgAAAAAATItgBAAAAAAAmBbBCAAAAAAAMC2CEQAAAAAAYFoEIwAAAAAAwLQIRgAAAAAAgGkRjAAAAAAAANMiGAEAAAAAAKZFMAIAAAAAAEyLYAQAAAAAAJgWwQgAAAAAADAtghEAAAAAAGBajuXdAAAAlVF6erq+/vprSZKvr6969epVzh3ltWrVKmVlZcnLy0sDBgzIs78yfIaqatOmTbpy5YocHBx07733lsmahR0PAACYlZ1hGEZ5NwEAQGUTExOj2rVrS5IGDBig77//vpw7ysvFxUVpaWlq166dDh48mGd/ZfgMVVX79u116NAhVatWTampqWWyZmHHAwAAZsUZIwAAAEAFZBiGVqxYIUmqVauW+vfvX84dAUDVRDACAAAAVEBZWVkaM2aMJKlLly4EIwBQSrj5KgAAAAAAMC2CEQAAAAAAYFoEIwAAAAAAwLS4xwgAADZ2+vRpnT17VmlpafL391e7du1kZ2dndc7ly5e1detWSVKrVq0UFBRkdfyGDRuUkJAgZ2dnjRgxwma9FyQhIUEbN27UjYfZderUSU2aNLFJbWuPDT579qzOnDmj9PR0NW7cWLfcckuBdUJDQ3XmzBklJSUpMDBQbdu2LXYvkZGROnHihOLi4lSzZk0FBgaW6HNmZmbqwIEDioiIkLu7u5o2baqAgIAizy+P46E010xLS9Mff/yhiIgIpaWlydvbW3Xq1FHDhg3l7u5eon5LIiMjQ4cPH9alS5eUkZGhunXrqn379nJxcbE6r6yP0YyMDK1evVrZ2dmW92JjY7V8+fI8Y1u3bl2iYx0AkIMBAACKLTo62pBkSDIGDBhgGIZhbN682bj11lst79/44+fnZyxYsMDIzs4usN62bdss46dPn17o+i1atDAkGR4eHgWOqVatmiHJaNeuXZE/Q37Cw8ONoKAgy9gHHnjAyMjIKLTHosqvj59++sno0KFDnq9l+/btjZ9++inX/B9//NHo2rVrnrEtWrTIM7YgX331Vb5/d5KMxo0bG/PmzTPS09MLrZOenm7MmjXLqFWrVp463bp1M/bs2WMYhmG0a9fOkGRUq1Yt3zrlcTyUxpqhoaHGhAkTDDc3t3y/tk5OTkafPn2MRYsWFbrezTh58qRx//33G+7u7nl6cHV1Nf76178aYWFhBc4v62P0ypUr+X698vvz8ssv2/aLBQAmxKU0AADYwJIlSzRw4EAdOHAgz76IiAhNnjxZEyZMUFZWVjl0V3JHjhxRcHCwDh8+LEl69dVX9cknn8jRsfROOv3888/Vt29f/fbbb3n2HTx4UAMHDtSOHTskSR999JHuvPNO7dq1K8/YEydOaMCAAfr1118LXCszM1MPPvigRo4cme/fnXT9jIAnn3xSd955p65evVpgrdTUVA0ePFgvvviiYmJi8uz/9ddf1aNHD61bt67AGlXJ0aNH1aFDBy1btkxJSUn5jsnIyNC2bdv09ttvl1of//3vf9W2bVt99tlnunbtWp79ycnJ+vTTT3Xrrbdqz549RapZlscoAKD0cSkNAAA36eTJk3riiSeUnZ0tZ2dndenSRbVq1VJUVJT27t2rzMxMSdJnn32m5s2b69VXXy3njotm27ZtGj58uOLj4+Xo6KgFCxZo0qRJpbrmqVOn9PDDDysrK0s1a9ZUp06d5ObmplOnTunYsWOSpJSUFE2ePFkLFy7UE088YXVsamqqHn74YR05ciTfy5leeOEFLV261PLawcFBHTt2lJ+fn+Li4hQSEqKUlBRJ0vbt2zV27FitX78+31pPP/20Nm/ebHldrVo1denSRT4+PoqMjNTevXuVnp6uiRMnqnr16jb9ulVETz31lGJjYy2vGzZsqFtuuUU1atTQ1atXFRUVpQsXLighIaHUeli9erUmTJhgeW1nZ6dbbrlFTZo0kaOjo86ePavDhw/LMAzFxMRoyJAhOnjwoHx9fQusWRbHqLOzs0aPHi3DMLRy5UpJko+PT76P6y3skicAQBGU9ykrAABURjlPrb/xZ/To0UZ0dHSucRcvXjTuuuuuXJcOXLhwIU+9inYpzeeff244Ozsbkgw3Nzdj/fr1hfZUUn/+WtrZ2Rl///vfjeTk5Fzjvvvuu1yXQri5uRn29vbGa6+9lmfs2rVrc12+sXPnzjzrHjp0yLCzs7OMueuuu/JcTnHlyhXjoYceytXf559/nqfWvn37co0ZO3asERMTk2vMhQsXjP79++caV1UvpUlNTbV8bd3d3Y0tW7bkWyMzM9PYvn278c477xS6XnHFxMQYNWvWtHymIUOGGKdOncoz7tixY7kuc3nwwQfzjCmvYzQjI8Oyv0uXLjf5FQEAFIRLaQAAsIEBAwboyy+/VK1atXK97+fnp3Xr1qlz586Srl86sHjx4vJoscjmzJmj+++/X+np6apbt662b9+uQYMGldn6L730kv7xj3/kOavi7rvv1vTp0y2vk5KSNGPGDM2YMSPP2CFDhuhvf/ub5fXPP/+cZ50PPvjAcjPZ7t27a926dWrQoEGuMZ6envr44491//33W95777338tRasGBBrj4/++wz+fj45Brj7++v9evXq3379gV88qojJSXF8rW9++678z3TQbp+hk6vXr1y/V3ZygcffGA5G+Xee+/VmjVr1LRp0zzjWrZsqc2bN1tusvv5558rPj7eau2yOkYBAGWDYAQAABuYM2dOgU+ecXR01BtvvGF5nfNyi4okKytLTzzxhF544QUZhqHmzZtr165d6tixY5n14OLiohdeeKHA/QMHDrRsu7m5adq0aQWOHTBggGX77NmzefZv2bLFsj1nzhyr901566235OTkJEnat2+frly5kmt/zr/T2bNnF3gsODs75zoWqipPT0/LU3h27typ8+fPl3kPa9askXT98pm5c+dafTKUu7u7nnzySUnXn6Bj7Z4fZXmMAgDKBvcYAQDgJtWvX1/t2rWzOqZ3795ydXVVcnKyDh48WDaNFUNKSopGjBhhuTFot27dtG7dujxnPZS2oKAgq49vrVevnmW7ffv2cnV1LdLYP9/H4sqVK7pw4YIkydvbW926dbPal6+vrzp37qxffvlFhmHo0KFD6t27tyQpLi5OYWFhkqSAgAC1adPGaq3+/fvLxcVFqampVsdVdrNmzdLYsWN18eJFtWjRQn379lXPnj3Vvn17tWvXzup9PG5WUlKSfv/9d0nX780REhKikJAQSbKcyXLjf29sX7p0yfL6xIkTuuuuu/KtXVbHKACg7BCMAABwkxo3blzoGEdHRzVs2FDHjx9X2v+1d/8hUd9xHMdfXeNEdNmVeQ1brXXdlmW2rVZs85+arp80kNv6QdEvYjooFrWgqH/WGqMFK3LNiFX0i6JfRKSjBuY1jAjqjySzQNgxz1JULNMU/e6P8MuZd+eppze95wOE75fv+/v5fO6+H//4vu/z4+VLPX/+POjLVX9r30FDkpxOp65fvx6RBUJtNlvQ676jOoYPHx5ybPsCuO18d42ZMGFC0NEE7RwOh/7+++9O9/suMBpKX7BarRozZoweP37cZexAtnTpUg0fPlzbtm3TvXv3lJ+fr/z8fPO60+lUVlaWvv32WyUnJ4e17qdPn5qJj+rqarlcrm7dX1NTE/Baf/VRAED/YSoNAAC91D7FojtxLS0tfdWcHnE4HOYLX1lZmXbv3h3hFvUt35fQUJ+f1Wo1j32fn+9xT/rCYDZv3jzdvXtXJSUlys3N1dq1a5WamiqLxaKysjL99NNPcjgcOnr0aFjrbd9JqKeam5vD1BIAwEDAiBEAAHqpsrKyW3FDhgxRQkJCh2u+IxZ8h/gH8uLFi260sGsTJkzQuXPnlJGRoaqqKu3atUuNjY365ZdfwlrP/4XvL/lerzekeyoqKszjESNG+C2ru30hkEj0h76sMyUlRSkpKeZ5dXW1zp49qx07dqimpkZr165VSkqKuUhxb/k+n1GjRmn27Nndur+rqXEAgMGFxAgAAL1UWlqqqqoqjRo1KmDMw4cPVVVVJenV6AyLpeOgzbi4OPP49YU9X1dXV9fhJT1c0tLSdOPGDc2ZM0der1d79+5VY2OjDhw4ENJUk4HEbrdr2LBhqq+vV3l5uf755x+NHTs2YHxzc7OKi4vN84kTJ5rHo0ePNssqKSlRTU1Nhxfz192/f7/LZxyJ/tCfdSYmJionJ0dJSUlyuVxqa2vTkSNHwpYYSUpKks1mU21traxWq06fPj0g+/BAbDMADERMpQEAoJfa2tq0b9++oDF79+41j9PT0ztd912I8ubNm0HLysvLU2trazdbGZpJkyapqKjITBL89ttvWrdundra2vqkvkixWCz67LPPzPM9e/YEjT906JC57kRycnKHtUQsFou5eGtra6v2798ftKxQRuFEoj+Es876+no1NDR0WWdqaqp5HM5dWSwWizIzMyVJ//77r06dOhXyvaGOIOoPQ4cONdch6e30IABAYCRGAAAIg59//llnzpzxey0vL0+HDx82z9esWdMpJjk52XwxffDggQ4dOuS3rPPnz2vnzp1haHFgDodDRUVF5sv/H3/8oZUrV/ZZMiZS1q1bZx7n5ubq4MGDfuPy8/P1/fffm+fr16/vFLN69WrzePfu3Tp37pzfsvbv369jx4512bZI9Idw1llWVian06nff/89YILEMAwdOHDAPA82yqYnNm3aZB6vX79ex48fDzpFyOPxaPPmzeZuQ/8XiYmJkqRHjx7p+fPnEW4NAAxOTKUBAKCX4uLi1NDQoCVLlujw4cOaP3++EhMT9eTJE126dMncyUSSFi5cqE8//dRvOcuWLTNHlnzzzTcqKChQRkaG4uPjVVFRoatXr6qoqEgWi0WxsbF9+gvyuHHj5Ha7NWfOHJWWlurkyZNqamrS6dOnB83CoYsXL1Z6errcbrcMw1BOTo6OHz+uL7/8Um+99ZZqa2v1559/6urVq+Y9Y8eO1YYNGzqVlZWVpenTp+vOnTtqaWmRy+VSZmam5s2bp5EjR8rr9erixYu6deuWJJlbNwcTif4QzjorKiqUnZ2trVu36vPPP9fMmTNlt9vV1NQkj8ejCxcu6MGDB2b8ggULet1+Xx9//LGys7N18OBBvXjxQitXrtQPP/yguXPn6v3331dCQoIaGhrk8Xjkdrt18+ZNtba2aty4cWFtR29NmzZNBQUFamxsVEZGhpYsWaKkpCRzms3kyZM7jLwBAPSAAQAAuq2qqsqQZEgyvvjiC2Pp0qXmeaA/h8NhVFZWBiyzurraGD16dJfl7Nmzx3jvvfcMSUZCQkLA8mJiYgxJRlpaWkifwZ8nT54YqampZtzChQuNpqam7nxVXQqlHe28Xq8Zu2DBgqCx5eXlZmxWVpbfGI/HYzgcji6/c0mGzWYzbt++HbC+hw8fGna7vctyvvvuOyMtLc2QZMTExAQsr7/7QzjrLCsrM+Lj40P6Xtufe2tra8B29VRLS0tI/5u+f5988kmnciLZR0+cOBG0vdu3bw/9CwEA+MVUGgAAwuDo0aPKyckJuFhiZmambty4IbvdHrCMkSNH6vr163I6nX6vx8bGKi8vT5s3bw5Lm0ORlJSkwsJCffTRR5KkK1euaNGiRWHfFSdSxowZo+LiYi1fvjzoQpezZ89WcXGxZsyYETDG6XSqqKhIM2fO9HvdYrFo+/btIe/0E4n+EK46J06cqMePH2vjxo0aNmxYwLiYmBht2bJFly9f7rQgcTi88cYbOnXqlI4cOdJhXRh/3n33Xe3bt0+FhYVhb0dvLF++3O/0LQBA+DCVBgCAHoiJidHXX38t6dVQd6vVqtzcXG3atEnnz59XeXm5Xr58qbffflvz588P+LL8usmTJ6ukpERXrlyR2+1WdXW1EhISNGXKFLlcLtlsNkmvph1Mmzatw04ir/vqq6/U3Nysd955J6TPEMiIESP0119/acuWLaqvr5ckHTt2TNnZ2SF9pq6E2g7p1Yt5e+yHH34YNDYuLs6MnTVrVsC4xMREnThxQrt27VJ+fr5KS0tVW1urN998U+PHj1dmZqamTp0a0mdxOp0qLi5WYWGhrl27poqKCsXHx8vhcMjlcik5OVmSzOkcVqs1aHn92R/CXafdbtevv/6qH3/8UdeuXdOtW7fk9Xo1dOhQ2e12paWlae7cuR22O+4rq1at0ooVK3T79m253W55PB7V1dUpPj5e48ePV3p6umbNmhUwORbpPpqXl6cNGzaooKBAjx490rNnz8w1f0LtmwCAwIYYRggb1QMAAAAAAAxCTKUBAAAAAABRi8QIAAAAAACIWqwxAgAAuq2urk4FBQU9vj82NlaLFy8OY4swGNCvAACRwBojAACg2+7du6cPPvigx/fb7XZVVlaGsUUYDOhXAIBIYCoNAAAAAACIWkylAQAA3Waz2cxtRnuiP7ZoxcBDvwIARAJTaQAAAAAAQNRiKg0AAAAAAIhaJEYAAAAAAEDUIjECAAAAAACiFokRAAAAAAAQtUiMAAAAAACAqEViBAAAAAAARC0SIwAAAAAAIGqRGAEAAAAAAFGLxAgAAAAAAIhaJEYAAAAAAEDUIjECAAAAAACiFokRAAAAAAAQtUiMAAAAAACAqEViBAAAAAAARC0SIwAAAAAAIGqRGAEAAAAAAFGLxAgAAAAAAIhaJEYAAAAAAEDUIjECAAAAAACi1n8dwzVGCCmtgwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 372,
+       "width": 547
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "mv.pl.distribution(metals, \"bulk_modulus_emt\", by=\"conductive_and_stiff\",\n",
+    "                   bins=8)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4a2afb11",
    "metadata": {},
    "source": [
     "Subset when you actually want the short list — the object is an ordinary\n",
@@ -2847,14 +2979,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "id": "234c2678",
+   "execution_count": 35,
+   "id": "1e1de20a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:36.469491Z",
-     "iopub.status.busy": "2026-08-05T00:19:36.469385Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.481755Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.481259Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.868411Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.868225Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.880423Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.880080Z"
     }
    },
    "outputs": [
@@ -2958,7 +3090,7 @@
        "6      Ag           1           0.25         inf  1.000000"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2972,7 +3104,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc391fa6",
+   "id": "0d160bce",
    "metadata": {},
    "source": [
     "With seven elementals this is a formality. On a library of thousands it is the\n",
@@ -2984,14 +3116,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "id": "1f8dc1cc",
+   "execution_count": 36,
+   "id": "06de8290",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:36.482697Z",
-     "iopub.status.busy": "2026-08-05T00:19:36.482595Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.484775Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.484435Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.881453Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.881291Z",
+     "iopub.status.idle": "2026-08-05T21:18:08.883443Z",
+     "shell.execute_reply": "2026-08-05T21:18:08.883165Z"
     }
    },
    "outputs": [
@@ -3024,14 +3156,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "id": "94641126",
+   "execution_count": 37,
+   "id": "c69b05cf",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:36.485828Z",
-     "iopub.status.busy": "2026-08-05T00:19:36.485726Z",
-     "iopub.status.idle": "2026-08-05T00:19:36.723784Z",
-     "shell.execute_reply": "2026-08-05T00:19:36.723195Z"
+     "iopub.execute_input": "2026-08-05T21:18:08.884174Z",
+     "iopub.status.busy": "2026-08-05T21:18:08.884029Z",
+     "iopub.status.idle": "2026-08-05T21:18:09.123205Z",
+     "shell.execute_reply": "2026-08-05T21:18:09.122847Z"
     }
    },
    "outputs": [
@@ -3057,7 +3189,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0d4ad140",
+   "id": "2dcdd43a",
    "metadata": {},
    "source": [
     "Parameters are recorded with each call, so the history replays as code rather\n",
diff --git a/matverse_guide/docs/tutorials/infrastructure.ipynb b/matverse_guide/docs/tutorials/infrastructure.ipynb
index 89493c4..d50ae72 100644
--- a/matverse_guide/docs/tutorials/infrastructure.ipynb
+++ b/matverse_guide/docs/tutorials/infrastructure.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "cc6a7b29",
+   "id": "ac08b1d1",
    "metadata": {},
    "source": [
     "# Infrastructure\n",
@@ -18,13 +18,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "bfbe572c",
+   "id": "1b29ec0a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:17.839424Z",
-     "iopub.status.busy": "2026-08-05T00:30:17.839311Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.656787Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.656215Z"
+     "iopub.execute_input": "2026-08-05T21:37:14.906582Z",
+     "iopub.status.busy": "2026-08-05T21:37:14.906461Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.751382Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.750841Z"
     }
    },
    "outputs": [
@@ -68,7 +68,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -85,13 +85,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "660d6e22",
+   "id": "f0130d95",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.658387Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.657893Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.698899Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.698438Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.752911Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.752308Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.830122Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.829678Z"
     }
    },
    "outputs": [
@@ -186,7 +186,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4b67387b",
+   "id": "7263567d",
    "metadata": {},
    "source": [
     "## What is this object carrying?\n",
@@ -198,13 +198,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "f8d875e4",
+   "id": "64088a4e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.700040Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.699911Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.702263Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.701853Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.831002Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.830907Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.832987Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.832627Z"
     }
    },
    "outputs": [
@@ -230,7 +230,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fe4eb106",
+   "id": "56cd4465",
    "metadata": {},
    "source": [
     "## Units\n",
@@ -243,13 +243,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "07b06bb1",
+   "id": "540924ae",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.703129Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.703014Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.705591Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.705178Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.833711Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.833622Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.835804Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.835460Z"
     }
    },
    "outputs": [
@@ -281,13 +281,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "02de2211",
+   "id": "515c20cd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.706458Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.706368Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.708981Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.708604Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.836528Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.836435Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.847659Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.847260Z"
     }
    },
    "outputs": [
@@ -317,7 +317,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8e23ab67",
+   "id": "003084dd",
    "metadata": {},
    "source": [
     "Every column matverse wrote has a unit; `lattice_parameter` and `nsites` come\n",
@@ -328,13 +328,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "3ba422c8",
+   "id": "11c8b1d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.709842Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.709751Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.712877Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.712456Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.848427Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.848339Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.851292Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.850942Z"
     }
    },
    "outputs": [
@@ -358,7 +358,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "95e7c3e7",
+   "id": "7c3aa11b",
    "metadata": {},
    "source": [
     "`mv.utils.convert` goes the other way — it takes a column in *someone else's*\n",
@@ -371,13 +371,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "1f5169c8",
+   "id": "ddb09908",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.713718Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.713607Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.720039Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.719653Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.852037Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.851945Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.857890Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.857534Z"
     }
    },
    "outputs": [
@@ -490,7 +490,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "92b676e6",
+   "id": "03d8aa29",
    "metadata": {},
    "source": [
     "`reported_energy_ev` and `energy_per_atom_emt` agree, which is the check worth\n",
@@ -506,13 +506,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "69aec501",
+   "id": "1d3145cf",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.720844Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.720728Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.723026Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.722636Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.858613Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.858524Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.860566Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.860253Z"
     }
    },
    "outputs": [
@@ -533,7 +533,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c610f906",
+   "id": "b80934e1",
    "metadata": {},
    "source": [
     "## Surviving a walltime limit\n",
@@ -547,13 +547,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "d19612b3",
+   "id": "8e2d7a95",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.723884Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.723792Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.770694Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.770182Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.861253Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.861164Z",
+     "iopub.status.idle": "2026-08-05T21:37:23.941155Z",
+     "shell.execute_reply": "2026-08-05T21:37:23.940625Z"
     }
    },
    "outputs": [
@@ -579,7 +579,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9e71bd23",
+   "id": "027d6d3f",
    "metadata": {},
    "source": [
     "`mv.utils.resume` answers the question a restarted job actually asks: *which\n",
@@ -589,13 +589,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "2eedbe12",
+   "id": "5b51bac6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.771864Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.771742Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.802888Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.802440Z"
+     "iopub.execute_input": "2026-08-05T21:37:23.942326Z",
+     "iopub.status.busy": "2026-08-05T21:37:23.942185Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.006100Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.005575Z"
     }
    },
    "outputs": [
@@ -622,7 +622,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ace80de5",
+   "id": "0922b436",
    "metadata": {},
    "source": [
     "Three rows were done before the job died; four remain. Note that this works on\n",
@@ -646,13 +646,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "e52ced49",
+   "id": "71817f0a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.803838Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.803736Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.818832Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.818311Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.007439Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.007307Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.033720Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.033126Z"
     }
    },
    "outputs": [
@@ -673,7 +673,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f29be23f",
+   "id": "40141187",
    "metadata": {},
    "source": [
     "`map_chunks` runs an operation over each piece, optionally checkpointing as it\n",
@@ -684,13 +684,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "fbaf7984",
+   "id": "3b143c66",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.819826Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.819698Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.960772Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.960329Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.034831Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.034698Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.336167Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.335552Z"
     }
    },
    "outputs": [
@@ -721,13 +721,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "e95a7bae",
+   "id": "f9d7fbda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.961872Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.961752Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.966616Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.966199Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.337293Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.337151Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.342446Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.341932Z"
     }
    },
    "outputs": [
@@ -818,7 +818,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "94b4309a",
+   "id": "8f02854f",
    "metadata": {},
    "source": [
     "The results landed on the parent object even though the work happened\n",
@@ -834,13 +834,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "6f4aded7",
+   "id": "aeafba0a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.967693Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.967573Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.970086Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.969708Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.343512Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.343389Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.346293Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.345841Z"
     }
    },
    "outputs": [
@@ -885,7 +885,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c153758",
+   "id": "0f3f7a77",
    "metadata": {},
    "source": [
     "### Submitting it\n",
@@ -898,21 +898,21 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "e4334d71",
+   "id": "b0bfc68a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.971110Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.971007Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.973396Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.972997Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.347250Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.347133Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.349823Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.349381Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'script': '/tmp/tmp8la0xdo0/screen.sbatch',\n",
-       " 'command': 'sbatch /tmp/tmp8la0xdo0/screen.sbatch',\n",
+       "{'script': '/tmp/tmpixnb6qnq/screen.sbatch',\n",
+       " 'command': 'sbatch /tmp/tmpixnb6qnq/screen.sbatch',\n",
        " 'job_id': None,\n",
        " 'state': 'dry run'}"
       ]
@@ -929,7 +929,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c654c5e9",
+   "id": "97a7e877",
    "metadata": {},
    "source": [
     "`dry_run=True` returns the command without running it, which is what you want\n",
@@ -943,21 +943,21 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "fddc6344",
+   "id": "af72ee06",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.974310Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.974166Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.976474Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.976136Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.350761Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.350647Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.353180Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.352755Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[{'script': '/tmp/tmp8la0xdo0/screen.sbatch',\n",
-       "  'command': 'sbatch /tmp/tmp8la0xdo0/screen.sbatch',\n",
+       "[{'script': '/tmp/tmpixnb6qnq/screen.sbatch',\n",
+       "  'command': 'sbatch /tmp/tmpixnb6qnq/screen.sbatch',\n",
        "  'job_id': None,\n",
        "  'state': 'dry run'}]"
       ]
@@ -974,13 +974,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "3b3ce45b",
+   "id": "e87f8d81",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.977336Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.977245Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.979453Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.979051Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.354127Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.354007Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.356387Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.356047Z"
     }
    },
    "outputs": [
@@ -1003,7 +1003,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e778b38a",
+   "id": "6525d46d",
    "metadata": {},
    "source": [
     "With real submissions that reads `squeue`, and falls back to `sacct` for jobs\n",
@@ -1032,13 +1032,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "1fc9f22a",
+   "id": "7667522f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.980329Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.980233Z",
-     "iopub.status.idle": "2026-08-05T00:30:23.982589Z",
-     "shell.execute_reply": "2026-08-05T00:30:23.982224Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.357570Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.357464Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.360119Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.359706Z"
     }
    },
    "outputs": [
@@ -1077,13 +1077,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "1e58695f",
+   "id": "8a7d10cc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:23.983472Z",
-     "iopub.status.busy": "2026-08-05T00:30:23.983381Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.245073Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.244657Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.361067Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.360961Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.973727Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.973299Z"
     }
    },
    "outputs": [
@@ -1108,13 +1108,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "58ae8939",
+   "id": "1d7bc5d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:24.246389Z",
-     "iopub.status.busy": "2026-08-05T00:30:24.245894Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.248672Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.248352Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.980198Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.979729Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.993954Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.993498Z"
     }
    },
    "outputs": [
@@ -1135,7 +1135,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "74cc537e",
+   "id": "9a8ce2cb",
    "metadata": {},
    "source": [
     "INCAR, POSCAR, KPOINTS and a POTCAR *specification* — the last is a list of\n",
@@ -1148,20 +1148,20 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "132ab94e",
+   "id": "7fb351eb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:24.249399Z",
-     "iopub.status.busy": "2026-08-05T00:30:24.249314Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.251913Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.251594Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.994915Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.994799Z",
+     "iopub.status.idle": "2026-08-05T21:37:24.998169Z",
+     "shell.execute_reply": "2026-08-05T21:37:24.997690Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'root': '/tmp/tmp8la0xdo0/runs',\n",
+       "{'root': '/tmp/tmpixnb6qnq/runs',\n",
        " 'n_total': 2,\n",
        " 'n_finished': 0,\n",
        " 'n_missing': 2,\n",
@@ -1180,7 +1180,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8014c89f",
+   "id": "0ed283ad",
    "metadata": {},
    "source": [
     "Nothing has run, so both are missing. Pretend one finished:"
@@ -1189,20 +1189,20 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "8d767acd",
+   "id": "21f29869",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:24.252926Z",
-     "iopub.status.busy": "2026-08-05T00:30:24.252833Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.255467Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.255084Z"
+     "iopub.execute_input": "2026-08-05T21:37:24.999227Z",
+     "iopub.status.busy": "2026-08-05T21:37:24.999107Z",
+     "iopub.status.idle": "2026-08-05T21:37:25.002196Z",
+     "shell.execute_reply": "2026-08-05T21:37:25.001787Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'root': '/tmp/tmp8la0xdo0/runs',\n",
+       "{'root': '/tmp/tmpixnb6qnq/runs',\n",
        " 'n_total': 2,\n",
        " 'n_finished': 1,\n",
        " 'n_missing': 1,\n",
@@ -1222,7 +1222,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "04a7f70f",
+   "id": "c9753042",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -1240,13 +1240,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "116f691d",
+   "id": "afd29fdb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:24.256363Z",
-     "iopub.status.busy": "2026-08-05T00:30:24.256259Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.264682Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.264258Z"
+     "iopub.execute_input": "2026-08-05T21:37:25.003121Z",
+     "iopub.status.busy": "2026-08-05T21:37:25.003012Z",
+     "iopub.status.idle": "2026-08-05T21:37:25.011233Z",
+     "shell.execute_reply": "2026-08-05T21:37:25.010752Z"
     }
    },
    "outputs": [
@@ -1312,7 +1312,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "47be799e",
+   "id": "4ce98463",
    "metadata": {},
    "source": [
     "Both are NaN with a reason, because the `<modeling/>` above is not a real\n",
@@ -1327,13 +1327,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "f36579af",
+   "id": "0a9aa99e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:24.265627Z",
-     "iopub.status.busy": "2026-08-05T00:30:24.265507Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.269687Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.269329Z"
+     "iopub.execute_input": "2026-08-05T21:37:25.012370Z",
+     "iopub.status.busy": "2026-08-05T21:37:25.012173Z",
+     "iopub.status.idle": "2026-08-05T21:37:25.026925Z",
+     "shell.execute_reply": "2026-08-05T21:37:25.026305Z"
     }
    },
    "outputs": [
@@ -1366,7 +1366,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "307bb3fd",
+   "id": "ad19d67b",
    "metadata": {},
    "source": [
     "`read_dos` fills the density of states onto the shared energy grid, and derives\n",
@@ -1387,13 +1387,13 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "66037da1",
+   "id": "2375298d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:24.270512Z",
-     "iopub.status.busy": "2026-08-05T00:30:24.270420Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.272602Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.272201Z"
+     "iopub.execute_input": "2026-08-05T21:37:25.028014Z",
+     "iopub.status.busy": "2026-08-05T21:37:25.027879Z",
+     "iopub.status.idle": "2026-08-05T21:37:25.030464Z",
+     "shell.execute_reply": "2026-08-05T21:37:25.030036Z"
     }
    },
    "outputs": [
@@ -1415,13 +1415,13 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "ccd86990",
+   "id": "7eb9b53a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:30:24.273513Z",
-     "iopub.status.busy": "2026-08-05T00:30:24.273348Z",
-     "iopub.status.idle": "2026-08-05T00:30:24.275626Z",
-     "shell.execute_reply": "2026-08-05T00:30:24.275269Z"
+     "iopub.execute_input": "2026-08-05T21:37:25.031676Z",
+     "iopub.status.busy": "2026-08-05T21:37:25.031559Z",
+     "iopub.status.idle": "2026-08-05T21:37:25.033937Z",
+     "shell.execute_reply": "2026-08-05T21:37:25.033568Z"
     }
    },
    "outputs": [
@@ -1442,7 +1442,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4cfc0610",
+   "id": "7ffd17e7",
    "metadata": {},
    "source": [
     "```{seealso}\n",
diff --git a/matverse_guide/docs/tutorials/interfaces.ipynb b/matverse_guide/docs/tutorials/interfaces.ipynb
index 1795e2c..97d170e 100644
--- a/matverse_guide/docs/tutorials/interfaces.ipynb
+++ b/matverse_guide/docs/tutorials/interfaces.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d8079228",
+   "id": "52e88f22",
    "metadata": {},
    "source": [
     "# Interfaces\n",
@@ -28,13 +28,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "fb0ee012",
+   "id": "29d83fcc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:38.175841Z",
-     "iopub.status.busy": "2026-08-05T00:28:38.175760Z",
-     "iopub.status.idle": "2026-08-05T00:28:44.059768Z",
-     "shell.execute_reply": "2026-08-05T00:28:44.059233Z"
+     "iopub.execute_input": "2026-08-05T21:35:19.206956Z",
+     "iopub.status.busy": "2026-08-05T21:35:19.206865Z",
+     "iopub.status.idle": "2026-08-05T21:35:24.571622Z",
+     "shell.execute_reply": "2026-08-05T21:35:24.571133Z"
     }
    },
    "outputs": [
@@ -78,7 +78,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bf48b305",
+   "id": "461bbae5",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -107,13 +107,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "27d369c4",
+   "id": "65a2f9e0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:44.061070Z",
-     "iopub.status.busy": "2026-08-05T00:28:44.060654Z",
-     "iopub.status.idle": "2026-08-05T00:28:44.087541Z",
-     "shell.execute_reply": "2026-08-05T00:28:44.087142Z"
+     "iopub.execute_input": "2026-08-05T21:35:24.572809Z",
+     "iopub.status.busy": "2026-08-05T21:35:24.572449Z",
+     "iopub.status.idle": "2026-08-05T21:35:24.598391Z",
+     "shell.execute_reply": "2026-08-05T21:35:24.597998Z"
     }
    },
    "outputs": [
@@ -188,7 +188,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "edb8890b",
+   "id": "c03faf1d",
    "metadata": {},
    "source": [
     "## Will the lattices match?\n",
@@ -202,13 +202,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "c8b1f469",
+   "id": "bf9675a8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:44.088393Z",
-     "iopub.status.busy": "2026-08-05T00:28:44.088244Z",
-     "iopub.status.idle": "2026-08-05T00:28:44.849896Z",
-     "shell.execute_reply": "2026-08-05T00:28:44.849432Z"
+     "iopub.execute_input": "2026-08-05T21:35:24.599371Z",
+     "iopub.status.busy": "2026-08-05T21:35:24.599276Z",
+     "iopub.status.idle": "2026-08-05T21:35:25.350663Z",
+     "shell.execute_reply": "2026-08-05T21:35:25.350148Z"
     }
    },
    "outputs": [
@@ -234,13 +234,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "ad88167d",
+   "id": "0ab4b7d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:44.851260Z",
-     "iopub.status.busy": "2026-08-05T00:28:44.850748Z",
-     "iopub.status.idle": "2026-08-05T00:28:44.858089Z",
-     "shell.execute_reply": "2026-08-05T00:28:44.857676Z"
+     "iopub.execute_input": "2026-08-05T21:35:25.352152Z",
+     "iopub.status.busy": "2026-08-05T21:35:25.351582Z",
+     "iopub.status.idle": "2026-08-05T21:35:25.359633Z",
+     "shell.execute_reply": "2026-08-05T21:35:25.359296Z"
     }
    },
    "outputs": [
@@ -376,7 +376,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "305ea6f2",
+   "id": "bdfe1a4d",
    "metadata": {},
    "source": [
     "Six rows for three materials: the pairing is **ordered**, because copper grown\n",
@@ -395,20 +395,20 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "af61c111",
+   "id": "decd2949",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:44.858887Z",
-     "iopub.status.busy": "2026-08-05T00:28:44.858791Z",
-     "iopub.status.idle": "2026-08-05T00:28:44.981118Z",
-     "shell.execute_reply": "2026-08-05T00:28:44.980680Z"
+     "iopub.execute_input": "2026-08-05T21:35:25.360409Z",
+     "iopub.status.busy": "2026-08-05T21:35:25.360316Z",
+     "iopub.status.idle": "2026-08-05T21:35:25.482672Z",
+     "shell.execute_reply": "2026-08-05T21:35:25.482244Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f963082c3e0>"
+       "<matplotlib.legend.Legend at 0x7f4b0d682150>"
       ]
      },
      "execution_count": 5,
@@ -448,7 +448,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9e3a1ecb",
+   "id": "6d01328e",
    "metadata": {},
    "source": [
     "Tighten the threshold and the screen starts discriminating — which is the\n",
@@ -458,13 +458,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "44cb0933",
+   "id": "f8a57a9a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:44.981993Z",
-     "iopub.status.busy": "2026-08-05T00:28:44.981893Z",
-     "iopub.status.idle": "2026-08-05T00:28:45.241905Z",
-     "shell.execute_reply": "2026-08-05T00:28:45.241440Z"
+     "iopub.execute_input": "2026-08-05T21:35:25.483579Z",
+     "iopub.status.busy": "2026-08-05T21:35:25.483471Z",
+     "iopub.status.idle": "2026-08-05T21:35:25.742873Z",
+     "shell.execute_reply": "2026-08-05T21:35:25.742450Z"
     }
    },
    "outputs": [
@@ -564,7 +564,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b9440171",
+   "id": "b07e37e0",
    "metadata": {},
    "source": [
     "## What happens at the contact?\n",
@@ -580,13 +580,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "e1e17234",
+   "id": "59437b91",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:45.243175Z",
-     "iopub.status.busy": "2026-08-05T00:28:45.243061Z",
-     "iopub.status.idle": "2026-08-05T00:28:45.453752Z",
-     "shell.execute_reply": "2026-08-05T00:28:45.453172Z"
+     "iopub.execute_input": "2026-08-05T21:35:25.743761Z",
+     "iopub.status.busy": "2026-08-05T21:35:25.743666Z",
+     "iopub.status.idle": "2026-08-05T21:35:25.950738Z",
+     "shell.execute_reply": "2026-08-05T21:35:25.950351Z"
     }
    },
    "outputs": [
@@ -687,7 +687,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8d5d1cbb",
+   "id": "b7cf60fd",
    "metadata": {},
    "source": [
     "All zero, and that is the correct answer for this dataset rather than a\n",
@@ -703,13 +703,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "c39c7b6c",
+   "id": "7bbd6d67",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:45.454867Z",
-     "iopub.status.busy": "2026-08-05T00:28:45.454758Z",
-     "iopub.status.idle": "2026-08-05T00:28:45.472129Z",
-     "shell.execute_reply": "2026-08-05T00:28:45.471597Z"
+     "iopub.execute_input": "2026-08-05T21:35:25.951719Z",
+     "iopub.status.busy": "2026-08-05T21:35:25.951622Z",
+     "iopub.status.idle": "2026-08-05T21:35:25.968148Z",
+     "shell.execute_reply": "2026-08-05T21:35:25.967777Z"
     }
    },
    "outputs": [
@@ -793,13 +793,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "eb9132ae",
+   "id": "b91f087d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:45.473093Z",
-     "iopub.status.busy": "2026-08-05T00:28:45.472987Z",
-     "iopub.status.idle": "2026-08-05T00:28:45.725890Z",
-     "shell.execute_reply": "2026-08-05T00:28:45.725421Z"
+     "iopub.execute_input": "2026-08-05T21:35:25.969103Z",
+     "iopub.status.busy": "2026-08-05T21:35:25.969007Z",
+     "iopub.status.idle": "2026-08-05T21:35:26.221885Z",
+     "shell.execute_reply": "2026-08-05T21:35:26.221278Z"
     }
    },
    "outputs": [
@@ -909,7 +909,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bb657fa3",
+   "id": "66267ce1",
    "metadata": {},
    "source": [
     "**Ni + 3 Al → Al₃Ni at −0.45 eV/atom.** Put aluminium against nickel and it\n",
@@ -937,13 +937,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "2f6421ce",
+   "id": "8d4d309a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:45.727013Z",
-     "iopub.status.busy": "2026-08-05T00:28:45.726897Z",
-     "iopub.status.idle": "2026-08-05T00:28:48.629338Z",
-     "shell.execute_reply": "2026-08-05T00:28:48.628566Z"
+     "iopub.execute_input": "2026-08-05T21:35:26.222959Z",
+     "iopub.status.busy": "2026-08-05T21:35:26.222833Z",
+     "iopub.status.idle": "2026-08-05T21:35:29.108653Z",
+     "shell.execute_reply": "2026-08-05T21:35:29.108177Z"
     }
    },
    "outputs": [
@@ -1013,13 +1013,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "d23d0030",
+   "id": "22920d23",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:48.630614Z",
-     "iopub.status.busy": "2026-08-05T00:28:48.630484Z",
-     "iopub.status.idle": "2026-08-05T00:28:48.633364Z",
-     "shell.execute_reply": "2026-08-05T00:28:48.632995Z"
+     "iopub.execute_input": "2026-08-05T21:35:29.109598Z",
+     "iopub.status.busy": "2026-08-05T21:35:29.109491Z",
+     "iopub.status.idle": "2026-08-05T21:35:29.111956Z",
+     "shell.execute_reply": "2026-08-05T21:35:29.111646Z"
     }
    },
    "outputs": [
@@ -1046,7 +1046,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2c920bf0",
+   "id": "61314fcc",
    "metadata": {},
    "source": [
     "One cell per **termination**. Cutting the same orientation at a different plane\n",
@@ -1062,13 +1062,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "a45d77ac",
+   "id": "c7f23eb8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:48.634124Z",
-     "iopub.status.busy": "2026-08-05T00:28:48.634031Z",
-     "iopub.status.idle": "2026-08-05T00:28:48.636516Z",
-     "shell.execute_reply": "2026-08-05T00:28:48.636149Z"
+     "iopub.execute_input": "2026-08-05T21:35:29.112660Z",
+     "iopub.status.busy": "2026-08-05T21:35:29.112573Z",
+     "iopub.status.idle": "2026-08-05T21:35:29.114773Z",
+     "shell.execute_reply": "2026-08-05T21:35:29.114473Z"
     }
    },
    "outputs": [
@@ -1090,13 +1090,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "217c1c85",
+   "id": "3c0881f6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:48.639128Z",
-     "iopub.status.busy": "2026-08-05T00:28:48.638617Z",
-     "iopub.status.idle": "2026-08-05T00:28:48.747874Z",
-     "shell.execute_reply": "2026-08-05T00:28:48.747327Z"
+     "iopub.execute_input": "2026-08-05T21:35:29.115465Z",
+     "iopub.status.busy": "2026-08-05T21:35:29.115382Z",
+     "iopub.status.idle": "2026-08-05T21:35:29.211455Z",
+     "shell.execute_reply": "2026-08-05T21:35:29.211053Z"
     }
    },
    "outputs": [
@@ -1156,7 +1156,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d3f0d916",
+   "id": "601faf15",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -1176,13 +1176,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "7812a625",
+   "id": "78eab297",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:48.748974Z",
-     "iopub.status.busy": "2026-08-05T00:28:48.748858Z",
-     "iopub.status.idle": "2026-08-05T00:28:48.754901Z",
-     "shell.execute_reply": "2026-08-05T00:28:48.754515Z"
+     "iopub.execute_input": "2026-08-05T21:35:29.212274Z",
+     "iopub.status.busy": "2026-08-05T21:35:29.212180Z",
+     "iopub.status.idle": "2026-08-05T21:35:29.217722Z",
+     "shell.execute_reply": "2026-08-05T21:35:29.217423Z"
     }
    },
    "outputs": [
@@ -1292,7 +1292,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "114b824a",
+   "id": "b32e00f0",
    "metadata": {},
    "source": [
     "A pairing is usable when the lattices fit *and* the contact is inert. Neither\n",
@@ -1304,13 +1304,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "40dfc88d",
+   "id": "b2322cf5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:48.755960Z",
-     "iopub.status.busy": "2026-08-05T00:28:48.755871Z",
-     "iopub.status.idle": "2026-08-05T00:28:48.758151Z",
-     "shell.execute_reply": "2026-08-05T00:28:48.757640Z"
+     "iopub.execute_input": "2026-08-05T21:35:29.218459Z",
+     "iopub.status.busy": "2026-08-05T21:35:29.218372Z",
+     "iopub.status.idle": "2026-08-05T21:35:29.220343Z",
+     "shell.execute_reply": "2026-08-05T21:35:29.220026Z"
     }
    },
    "outputs": [
@@ -1331,7 +1331,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "08f7d364",
+   "id": "a04fe7d0",
    "metadata": {},
    "source": [
     "```{seealso}\n",
diff --git a/matverse_guide/docs/tutorials/magnetic_ordering.ipynb b/matverse_guide/docs/tutorials/magnetic_ordering.ipynb
index 74d8f3c..afcc41b 100644
--- a/matverse_guide/docs/tutorials/magnetic_ordering.ipynb
+++ b/matverse_guide/docs/tutorials/magnetic_ordering.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "11f01a2c",
+   "id": "2fc9d1f0",
    "metadata": {},
    "source": [
     "# Magnetic ordering\n",
@@ -24,13 +24,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "68bc01a6",
+   "id": "a4042818",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:04.597781Z",
-     "iopub.status.busy": "2026-08-05T00:23:04.597706Z",
-     "iopub.status.idle": "2026-08-05T00:23:10.575202Z",
-     "shell.execute_reply": "2026-08-05T00:23:10.574757Z"
+     "iopub.execute_input": "2026-08-05T21:21:59.100251Z",
+     "iopub.status.busy": "2026-08-05T21:21:59.100051Z",
+     "iopub.status.idle": "2026-08-05T21:22:09.183820Z",
+     "shell.execute_reply": "2026-08-05T21:22:09.183271Z"
     }
    },
    "outputs": [
@@ -74,7 +74,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c8cbc593",
+   "id": "5d40366c",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -102,13 +102,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "52880d13",
+   "id": "b0c62855",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:10.576728Z",
-     "iopub.status.busy": "2026-08-05T00:23:10.576307Z",
-     "iopub.status.idle": "2026-08-05T00:23:10.648846Z",
-     "shell.execute_reply": "2026-08-05T00:23:10.648467Z"
+     "iopub.execute_input": "2026-08-05T21:22:09.185571Z",
+     "iopub.status.busy": "2026-08-05T21:22:09.185126Z",
+     "iopub.status.idle": "2026-08-05T21:22:09.335106Z",
+     "shell.execute_reply": "2026-08-05T21:22:09.334608Z"
     }
    },
    "outputs": [
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b077b477",
+   "id": "fb5856f9",
    "metadata": {},
    "source": [
     "## Which elements can even carry a moment"
@@ -205,13 +205,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "a01e63b1",
+   "id": "a2645c89",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:10.649818Z",
-     "iopub.status.busy": "2026-08-05T00:23:10.649686Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.086070Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.085690Z"
+     "iopub.execute_input": "2026-08-05T21:22:09.336465Z",
+     "iopub.status.busy": "2026-08-05T21:22:09.336342Z",
+     "iopub.status.idle": "2026-08-05T21:22:09.802856Z",
+     "shell.execute_reply": "2026-08-05T21:22:09.802414Z"
     }
    },
    "outputs": [
@@ -293,7 +293,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bb131e66",
+   "id": "c8ea6690",
    "metadata": {},
    "source": [
     "Read those two columns carefully, because they answer different questions.\n",
@@ -315,13 +315,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "ba212be4",
+   "id": "2869615a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.087060Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.086896Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.089271Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.088938Z"
+     "iopub.execute_input": "2026-08-05T21:22:09.810897Z",
+     "iopub.status.busy": "2026-08-05T21:22:09.810783Z",
+     "iopub.status.idle": "2026-08-05T21:22:09.813249Z",
+     "shell.execute_reply": "2026-08-05T21:22:09.812909Z"
     }
    },
    "outputs": [
@@ -361,7 +361,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7fdc7fb7",
+   "id": "ea0bb9e7",
    "metadata": {},
    "source": [
     "## Enumerating orderings\n",
@@ -374,13 +374,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "5c67e5fe",
+   "id": "aef11f5d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.090021Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.089879Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.307899Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.307560Z"
+     "iopub.execute_input": "2026-08-05T21:22:09.813971Z",
+     "iopub.status.busy": "2026-08-05T21:22:09.813883Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.087447Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.087042Z"
     }
    },
    "outputs": [
@@ -408,13 +408,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "042cda3c",
+   "id": "1c76e132",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.308674Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.308575Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.319605Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.319245Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.088614Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.088492Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.109757Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.109270Z"
     }
    },
    "outputs": [
@@ -549,7 +549,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7c6ec103",
+   "id": "14813e76",
    "metadata": {},
    "source": [
     "Three things worth reading in that table.\n",
@@ -570,13 +570,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "10d7dfd7",
+   "id": "38df0dcf",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.320335Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.320243Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.322449Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.322128Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.110658Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.110538Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.113052Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.112671Z"
     }
    },
    "outputs": [
@@ -597,7 +597,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "acdc4391",
+   "id": "9549b6a5",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -614,13 +614,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "823fc149",
+   "id": "82fca92f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.323119Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.323031Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.325022Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.324718Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.113830Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.113727Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.115966Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.115600Z"
     }
    },
    "outputs": [
@@ -642,7 +642,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ba88bf40",
+   "id": "67297c2c",
    "metadata": {},
    "source": [
     "## Picking the ground state\n",
@@ -654,13 +654,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "db679070",
+   "id": "c940176f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.325707Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.325622Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.343629Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.343256Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.116709Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.116610Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.156287Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.147178Z"
     }
    },
    "outputs": [
@@ -739,7 +739,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6626685d",
+   "id": "7bdd846c",
    "metadata": {},
    "source": [
     "## The spread is zero, and that is the answer\n",
@@ -759,13 +759,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "511715f6",
+   "id": "28d2bb48",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.344388Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.344298Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.346519Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.346096Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.157372Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.157233Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.164588Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.164235Z"
     }
    },
    "outputs": [
@@ -789,7 +789,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "109aee64",
+   "id": "d7d462cf",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -832,13 +832,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "593468a4",
+   "id": "de4485bb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.347297Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.347179Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.349425Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.349099Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.165406Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.165305Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.172642Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.172269Z"
     }
    },
    "outputs": [
@@ -859,7 +859,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6574c254",
+   "id": "a965d7fe",
    "metadata": {},
    "source": [
     "That is deliberate. `mv.thermo.hull` needs no special case for magnetism: it\n",
@@ -880,7 +880,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3cd36bd1",
+   "id": "79f7e8bc",
    "metadata": {},
    "source": [
     "## The other thing a d shell does\n",
@@ -897,13 +897,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "55725ca2",
+   "id": "06e51a9c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.350137Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.350047Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.570477Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.570091Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.173356Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.173252Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.625765Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.625400Z"
     }
    },
    "outputs": [
@@ -992,7 +992,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3112606b",
+   "id": "b7e62612",
    "metadata": {},
    "source": [
     "Mn³⁺ and Ni³⁺ come out **strong** and Ti⁴⁺ inactive, which is the textbook\n",
@@ -1016,7 +1016,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "71fac84d",
+   "id": "14bd33dd",
    "metadata": {},
    "source": [
     "## How far above room temperature does it stay a magnet?\n",
@@ -1032,13 +1032,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "e01d6ac4",
+   "id": "fcb63dbf",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.571260Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.571163Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.593186Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.592813Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.626589Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.626496Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.665734Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.665375Z"
     }
    },
    "outputs": [
@@ -1117,7 +1117,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6de22d7d",
+   "id": "0446b53f",
    "metadata": {},
    "source": [
     "The ferromagnetic arrangement is lower, so the coupling is positive and the\n",
@@ -1139,7 +1139,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b0f82a3d",
+   "id": "54659c6b",
    "metadata": {},
    "source": [
     "### When the fit has nothing to fit\n",
@@ -1153,13 +1153,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "0da524be",
+   "id": "e8d915aa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.593920Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.593826Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.598588Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.598251Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.666524Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.666428Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.671427Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.671095Z"
     }
    },
    "outputs": [
@@ -1197,7 +1197,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ae5ff84f",
+   "id": "4728c817",
    "metadata": {},
    "source": [
     "A NaN and a stated reason, rather than a number near zero that would read as\n",
@@ -1206,7 +1206,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "381b4c6c",
+   "id": "bf40a8ac",
    "metadata": {},
    "source": [
     "## What the moments cost in symmetry\n",
@@ -1225,13 +1225,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "ead0f1be",
+   "id": "4bb7b471",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:11.599277Z",
-     "iopub.status.busy": "2026-08-05T00:23:11.599187Z",
-     "iopub.status.idle": "2026-08-05T00:23:11.698355Z",
-     "shell.execute_reply": "2026-08-05T00:23:11.697991Z"
+     "iopub.execute_input": "2026-08-05T21:22:10.672126Z",
+     "iopub.status.busy": "2026-08-05T21:22:10.672039Z",
+     "iopub.status.idle": "2026-08-05T21:22:10.872830Z",
+     "shell.execute_reply": "2026-08-05T21:22:10.872436Z"
     }
    },
    "outputs": [
@@ -1321,7 +1321,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "74888fbd",
+   "id": "c5ac04b0",
    "metadata": {},
    "source": [
     "bcc iron has **96** operations. With no moments all 96 survive. With any\n",
diff --git a/matverse_guide/docs/tutorials/models_and_campaigns.ipynb b/matverse_guide/docs/tutorials/models_and_campaigns.ipynb
index d6d0dec..5fa58c5 100644
--- a/matverse_guide/docs/tutorials/models_and_campaigns.ipynb
+++ b/matverse_guide/docs/tutorials/models_and_campaigns.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "14e143f3",
+   "id": "6fb9bf5d",
    "metadata": {},
    "source": [
     "# Models and campaigns\n",
@@ -19,13 +19,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "2327d168",
+   "id": "dc75f309",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:16.412569Z",
-     "iopub.status.busy": "2026-08-05T00:20:16.412483Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.031351Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.030849Z"
+     "iopub.execute_input": "2026-08-05T21:18:51.401845Z",
+     "iopub.status.busy": "2026-08-05T21:18:51.401765Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.584271Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.583861Z"
     }
    },
    "outputs": [
@@ -69,7 +69,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3f909466",
+   "id": "493fc9a4",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -98,13 +98,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "847fe56b",
+   "id": "a2f3f32e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.033042Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.032646Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.053926Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.053478Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.585747Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.585390Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.605200Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.604897Z"
     }
    },
    "outputs": [
@@ -141,7 +141,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2ba4da59",
+   "id": "a95c206c",
    "metadata": {},
    "source": [
     "Each binary sits at the mean of its two elemental lattice parameters — a crude\n",
@@ -152,13 +152,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "dccf634f",
+   "id": "33383a0a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.054892Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.054794Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.147371Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.146905Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.606002Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.605914Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.697102Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.696716Z"
     }
    },
    "outputs": [
@@ -282,7 +282,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "68f98529",
+   "id": "6fcfc769",
    "metadata": {},
    "source": [
     "## The split is the part to care about\n",
@@ -295,13 +295,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "2a9fd60f",
+   "id": "f3619f82",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.148328Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.148222Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.152090Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.151662Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.697890Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.697800Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.701237Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.700924Z"
     }
    },
    "outputs": [
@@ -329,7 +329,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eca5a1c8",
+   "id": "2ab58d37",
    "metadata": {},
    "source": [
     "`mv.model.split` defaults to grouping by **composition**, and the default is the\n",
@@ -351,13 +351,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "348d3f23",
+   "id": "b527e453",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.152925Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.152827Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.155709Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.155340Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.701922Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.701838Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.704381Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.704091Z"
     }
    },
    "outputs": [
@@ -379,7 +379,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c734acc1",
+   "id": "50e5e47c",
    "metadata": {},
    "source": [
     "The element holdout is the hardest honest split and the one a discovery campaign\n",
@@ -398,13 +398,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "d46f06ac",
+   "id": "7d03bf76",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.156533Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.156443Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.360900Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.360342Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.705081Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.704995Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.906801Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.906340Z"
     }
    },
    "outputs": [
@@ -431,7 +431,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e73d4b2b",
+   "id": "16b39365",
    "metadata": {},
    "source": [
     "The prediction is a **level of theory**, not a special kind of column."
@@ -440,13 +440,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "17667a3d",
+   "id": "678266b2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.362046Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.361934Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.364637Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.364204Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.907691Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.907598Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.909805Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.909535Z"
     }
    },
    "outputs": [
@@ -478,7 +478,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "116b6b78",
+   "id": "4f7991fa",
    "metadata": {},
    "source": [
     "That matters for the same reason it does everywhere else in matverse: a\n",
@@ -494,13 +494,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "2dcdc743",
+   "id": "f13f69c0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.365568Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.365468Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.371572Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.371143Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.910539Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.910453Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.915723Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.915420Z"
     }
    },
    "outputs": [
@@ -626,7 +626,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b571713f",
+   "id": "d7c8b371",
    "metadata": {},
    "source": [
     "It is honestly labelled **uncalibrated**. It is useful for deciding what to\n",
@@ -636,13 +636,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "d18ae9d2",
+   "id": "ff7dc611",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.372501Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.372401Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.374830Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.374415Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.916486Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.916396Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.918430Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.918148Z"
     }
    },
    "outputs": [
@@ -666,7 +666,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a3a8d910",
+   "id": "7a176d2c",
    "metadata": {},
    "source": [
     "Only scikit-learn is wired. Graph networks and fine-tuned interatomic potentials\n",
@@ -677,13 +677,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "c0e9ea9e",
+   "id": "878cf023",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.375666Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.375571Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.444495Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.444032Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.919154Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.919071Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.986313Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.985920Z"
     }
    },
    "outputs": [
@@ -691,9 +691,9 @@
      "data": {
       "text/plain": [
        "{'n': 6,\n",
-       " 'mae': 0.018852599425785682,\n",
-       " 'rmse': 0.025564294591916326,\n",
-       " 'r2': 0.8665776240907359}"
+       " 'mae': 0.017274831817887117,\n",
+       " 'rmse': 0.02353478742144657,\n",
+       " 'r2': 0.8869210928074481}"
       ]
      },
      "execution_count": 10,
@@ -712,7 +712,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a19263c8",
+   "id": "38e2323d",
    "metadata": {},
    "source": [
     "### Uncertainty from a committee instead\n",
@@ -726,13 +726,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "3bc7b9a4",
+   "id": "e9973216",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.445513Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.445409Z",
-     "iopub.status.idle": "2026-08-05T00:20:22.452047Z",
-     "shell.execute_reply": "2026-08-05T00:20:22.451577Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.987103Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.987012Z",
+     "iopub.status.idle": "2026-08-05T21:18:56.992796Z",
+     "shell.execute_reply": "2026-08-05T21:18:56.992474Z"
     }
    },
    "outputs": [
@@ -831,7 +831,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1c3ffb6c",
+   "id": "4f8ee130",
    "metadata": {},
    "source": [
     "The two members here differ by a constant, so the spread is the same everywhere\n",
@@ -847,13 +847,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "1c77126c",
+   "id": "6ef0bd0c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:22.453061Z",
-     "iopub.status.busy": "2026-08-05T00:20:22.452960Z",
-     "iopub.status.idle": "2026-08-05T00:20:23.976502Z",
-     "shell.execute_reply": "2026-08-05T00:20:23.975951Z"
+     "iopub.execute_input": "2026-08-05T21:18:56.993490Z",
+     "iopub.status.busy": "2026-08-05T21:18:56.993406Z",
+     "iopub.status.idle": "2026-08-05T21:18:58.497030Z",
+     "shell.execute_reply": "2026-08-05T21:18:58.496660Z"
     }
    },
    "outputs": [
@@ -926,13 +926,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "18c27df8",
+   "id": "72b3db29",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:23.977585Z",
-     "iopub.status.busy": "2026-08-05T00:20:23.977483Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.076729Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.076257Z"
+     "iopub.execute_input": "2026-08-05T21:18:58.498113Z",
+     "iopub.status.busy": "2026-08-05T21:18:58.498019Z",
+     "iopub.status.idle": "2026-08-05T21:18:58.594650Z",
+     "shell.execute_reply": "2026-08-05T21:18:58.594309Z"
     }
    },
    "outputs": [
@@ -979,13 +979,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "8e1081c8",
+   "id": "302329d0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.077666Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.077563Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.080014Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.079639Z"
+     "iopub.execute_input": "2026-08-05T21:18:58.595723Z",
+     "iopub.status.busy": "2026-08-05T21:18:58.595597Z",
+     "iopub.status.idle": "2026-08-05T21:18:58.597883Z",
+     "shell.execute_reply": "2026-08-05T21:18:58.597562Z"
     }
    },
    "outputs": [
@@ -1006,7 +1006,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b78c6717",
+   "id": "8387ec38",
    "metadata": {},
    "source": [
     "`leakage_mae` is the grouped MAE minus the random one. A large **positive**\n",
@@ -1052,13 +1052,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "cc76f28f",
+   "id": "6dc85e40",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.080815Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.080729Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.084640Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.084252Z"
+     "iopub.execute_input": "2026-08-05T21:18:58.598762Z",
+     "iopub.status.busy": "2026-08-05T21:18:58.598672Z",
+     "iopub.status.idle": "2026-08-05T21:18:58.602356Z",
+     "shell.execute_reply": "2026-08-05T21:18:58.602046Z"
     }
    },
    "outputs": [
@@ -1086,7 +1086,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "85a35245",
+   "id": "53c26fcb",
    "metadata": {},
    "source": [
     "Each round: fit on what is known, ask for a batch, \"compute\" it, fold it back."
@@ -1095,13 +1095,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "364b5c86",
+   "id": "9ee5b4fe",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.085443Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.085352Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.625026Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.624562Z"
+     "iopub.execute_input": "2026-08-05T21:18:58.603062Z",
+     "iopub.status.busy": "2026-08-05T21:18:58.602975Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.148191Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.147757Z"
     }
    },
    "outputs": [
@@ -1232,13 +1232,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "759a6bdf",
+   "id": "cd81d1b6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.625927Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.625832Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.628416Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.628054Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.149324Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.149218Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.151709Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.151403Z"
     }
    },
    "outputs": [
@@ -1260,20 +1260,20 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "1654e16f",
+   "id": "edfa5798",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.629230Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.629139Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.746697Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.746210Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.152415Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.152328Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.268633Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.268252Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f47d43e2330>"
+       "<matplotlib.legend.Legend at 0x7f2efc8e83b0>"
       ]
      },
      "execution_count": 18,
@@ -1312,7 +1312,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eee3e045",
+   "id": "479f4184",
    "metadata": {},
    "source": [
     "The campaign found the true optimum having computed a fraction of the\n",
@@ -1340,13 +1340,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "42151a64",
+   "id": "e9c0700c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.747655Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.747550Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.750502Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.750075Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.269519Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.269425Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.271953Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.271634Z"
     }
    },
    "outputs": [
@@ -1369,13 +1369,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "39150646",
+   "id": "a09f86ad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.751348Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.751250Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.868811Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.868334Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.272649Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.272562Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.383282Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.382892Z"
     }
    },
    "outputs": [
@@ -1418,7 +1418,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bfae5a4b",
+   "id": "e4ab9021",
    "metadata": {},
    "source": [
     "A candidate is worth computing either because its predicted value is good or\n",
@@ -1435,13 +1435,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "0751558d",
+   "id": "e2882057",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.869766Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.869658Z",
-     "iopub.status.idle": "2026-08-05T00:20:24.874568Z",
-     "shell.execute_reply": "2026-08-05T00:20:24.874175Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.384149Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.384056Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.388380Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.388062Z"
     }
    },
    "outputs": [
@@ -1468,7 +1468,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b6925e1e",
+   "id": "07c11d8b",
    "metadata": {},
    "source": [
     "Farthest-point selection among a shortlist, so the batch spreads out in\n",
@@ -1492,13 +1492,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "874271ca",
+   "id": "b3b13f6a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:24.875482Z",
-     "iopub.status.busy": "2026-08-05T00:20:24.875379Z",
-     "iopub.status.idle": "2026-08-05T00:20:25.134449Z",
-     "shell.execute_reply": "2026-08-05T00:20:25.133915Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.389254Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.389163Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.637286Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.636835Z"
     }
    },
    "outputs": [
@@ -1529,7 +1529,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d7ad341b",
+   "id": "c0fd1504",
    "metadata": {},
    "source": [
     "`mv.pl.parity` draws the error bars when an uncertainty column exists,\n",
@@ -1546,13 +1546,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "1ca92b3f",
+   "id": "3d28745e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:25.135717Z",
-     "iopub.status.busy": "2026-08-05T00:20:25.135613Z",
-     "iopub.status.idle": "2026-08-05T00:20:25.458057Z",
-     "shell.execute_reply": "2026-08-05T00:20:25.457567Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.638206Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.638108Z",
+     "iopub.status.idle": "2026-08-05T21:18:59.953187Z",
+     "shell.execute_reply": "2026-08-05T21:18:59.952755Z"
     }
    },
    "outputs": [
@@ -1586,7 +1586,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d728955c",
+   "id": "b3f7ef62",
    "metadata": {},
    "source": [
     "A bar chart of 118 categories is unreadable and throws away the structure a\n",
@@ -1597,13 +1597,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "ded4663c",
+   "id": "f3e2d8dc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:25.459138Z",
-     "iopub.status.busy": "2026-08-05T00:20:25.459032Z",
-     "iopub.status.idle": "2026-08-05T00:20:25.549460Z",
-     "shell.execute_reply": "2026-08-05T00:20:25.548883Z"
+     "iopub.execute_input": "2026-08-05T21:18:59.954112Z",
+     "iopub.status.busy": "2026-08-05T21:18:59.953989Z",
+     "iopub.status.idle": "2026-08-05T21:19:00.038838Z",
+     "shell.execute_reply": "2026-08-05T21:19:00.038453Z"
     }
    },
    "outputs": [
@@ -1640,7 +1640,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7cc04e6e",
+   "id": "63621e44",
    "metadata": {},
    "source": [
     "### The rest\n",
@@ -1659,13 +1659,13 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "026626ef",
+   "id": "21e96f27",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:25.550558Z",
-     "iopub.status.busy": "2026-08-05T00:20:25.550447Z",
-     "iopub.status.idle": "2026-08-05T00:20:26.197547Z",
-     "shell.execute_reply": "2026-08-05T00:20:26.196940Z"
+     "iopub.execute_input": "2026-08-05T21:19:00.039826Z",
+     "iopub.status.busy": "2026-08-05T21:19:00.039733Z",
+     "iopub.status.idle": "2026-08-05T21:19:00.680574Z",
+     "shell.execute_reply": "2026-08-05T21:19:00.680097Z"
     }
    },
    "outputs": [
@@ -1691,7 +1691,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e47eebe9",
+   "id": "ef241b8a",
    "metadata": {},
    "source": [
     "```{note}\n",
diff --git a/matverse_guide/docs/tutorials/molecules.ipynb b/matverse_guide/docs/tutorials/molecules.ipynb
index df5f6ed..662dceb 100644
--- a/matverse_guide/docs/tutorials/molecules.ipynb
+++ b/matverse_guide/docs/tutorials/molecules.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d1ee6935",
+   "id": "3f54b5a1",
    "metadata": {},
    "source": [
     "# Molecules\n",
@@ -27,13 +27,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "455fd8fd",
+   "id": "de2add3a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:52.881197Z",
-     "iopub.status.busy": "2026-08-05T00:29:52.881089Z",
-     "iopub.status.idle": "2026-08-05T00:29:58.773147Z",
-     "shell.execute_reply": "2026-08-05T00:29:58.772628Z"
+     "iopub.execute_input": "2026-08-05T21:36:42.789015Z",
+     "iopub.status.busy": "2026-08-05T21:36:42.788894Z",
+     "iopub.status.idle": "2026-08-05T21:36:51.076061Z",
+     "shell.execute_reply": "2026-08-05T21:36:51.075438Z"
     }
    },
    "outputs": [
@@ -77,7 +77,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -93,7 +93,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "630e8523",
+   "id": "ca6f13fd",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -105,13 +105,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "aaf561df",
+   "id": "d85eeabc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:58.774337Z",
-     "iopub.status.busy": "2026-08-05T00:29:58.773946Z",
-     "iopub.status.idle": "2026-08-05T00:29:58.784912Z",
-     "shell.execute_reply": "2026-08-05T00:29:58.784475Z"
+     "iopub.execute_input": "2026-08-05T21:36:51.078499Z",
+     "iopub.status.busy": "2026-08-05T21:36:51.077985Z",
+     "iopub.status.idle": "2026-08-05T21:36:51.103971Z",
+     "shell.execute_reply": "2026-08-05T21:36:51.103358Z"
     }
    },
    "outputs": [
@@ -155,13 +155,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "1e0f0a5f",
+   "id": "e30cfe71",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:58.785741Z",
-     "iopub.status.busy": "2026-08-05T00:29:58.785623Z",
-     "iopub.status.idle": "2026-08-05T00:29:58.792159Z",
-     "shell.execute_reply": "2026-08-05T00:29:58.791718Z"
+     "iopub.execute_input": "2026-08-05T21:36:51.105591Z",
+     "iopub.status.busy": "2026-08-05T21:36:51.105437Z",
+     "iopub.status.idle": "2026-08-05T21:36:51.113628Z",
+     "shell.execute_reply": "2026-08-05T21:36:51.113201Z"
     }
    },
    "outputs": [
@@ -245,7 +245,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7d5f2fc8",
+   "id": "23c74e4e",
    "metadata": {},
    "source": [
     "The composition matrix, built without being asked, exactly as for a crystal.\n",
@@ -255,13 +255,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "d0d4e2ce",
+   "id": "14972134",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:58.792989Z",
-     "iopub.status.busy": "2026-08-05T00:29:58.792901Z",
-     "iopub.status.idle": "2026-08-05T00:29:58.799944Z",
-     "shell.execute_reply": "2026-08-05T00:29:58.799597Z"
+     "iopub.execute_input": "2026-08-05T21:36:51.114947Z",
+     "iopub.status.busy": "2026-08-05T21:36:51.114745Z",
+     "iopub.status.idle": "2026-08-05T21:36:51.136081Z",
+     "shell.execute_reply": "2026-08-05T21:36:51.135535Z"
     }
    },
    "outputs": [
@@ -356,7 +356,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "89954c40",
+   "id": "f3353432",
    "metadata": {},
    "source": [
     "`volume` and `density` are NaN, because they are properties of a *cell* and a\n",
@@ -367,13 +367,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "4534c7e1",
+   "id": "7643a6e1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:58.800692Z",
-     "iopub.status.busy": "2026-08-05T00:29:58.800603Z",
-     "iopub.status.idle": "2026-08-05T00:29:58.814399Z",
-     "shell.execute_reply": "2026-08-05T00:29:58.813969Z"
+     "iopub.execute_input": "2026-08-05T21:36:51.137509Z",
+     "iopub.status.busy": "2026-08-05T21:36:51.137366Z",
+     "iopub.status.idle": "2026-08-05T21:36:51.166130Z",
+     "shell.execute_reply": "2026-08-05T21:36:51.165551Z"
     }
    },
    "outputs": [
@@ -447,7 +447,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b18b1302",
+   "id": "56391c9a",
    "metadata": {},
    "source": [
     "## Symmetry\n",
@@ -458,13 +458,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "1ace144e",
+   "id": "7ba0716c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:58.815267Z",
-     "iopub.status.busy": "2026-08-05T00:29:58.815153Z",
-     "iopub.status.idle": "2026-08-05T00:29:58.828955Z",
-     "shell.execute_reply": "2026-08-05T00:29:58.828566Z"
+     "iopub.execute_input": "2026-08-05T21:36:51.167322Z",
+     "iopub.status.busy": "2026-08-05T21:36:51.167170Z",
+     "iopub.status.idle": "2026-08-05T21:36:51.196105Z",
+     "shell.execute_reply": "2026-08-05T21:36:51.195540Z"
     }
    },
    "outputs": [
@@ -555,7 +555,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b10f76f4",
+   "id": "0452eb89",
    "metadata": {},
    "source": [
     "C2v for water, **Td** for methane, C3v for ammonia, Cs for ethanol — the\n",
@@ -577,13 +577,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "d31262b4",
+   "id": "a3703d7d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:58.829731Z",
-     "iopub.status.busy": "2026-08-05T00:29:58.829644Z",
-     "iopub.status.idle": "2026-08-05T00:29:58.947413Z",
-     "shell.execute_reply": "2026-08-05T00:29:58.946983Z"
+     "iopub.execute_input": "2026-08-05T21:36:51.197262Z",
+     "iopub.status.busy": "2026-08-05T21:36:51.197115Z",
+     "iopub.status.idle": "2026-08-05T21:36:51.459354Z",
+     "shell.execute_reply": "2026-08-05T21:36:51.458733Z"
     }
    },
    "outputs": [
@@ -622,7 +622,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5a44e7f2",
+   "id": "89502494",
    "metadata": {},
    "source": [
     "## Bonds\n",
@@ -635,13 +635,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "3ac8e4e9",
+   "id": "8365464c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:58.948259Z",
-     "iopub.status.busy": "2026-08-05T00:29:58.948160Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.299445Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.299035Z"
+     "iopub.execute_input": "2026-08-05T21:36:51.460768Z",
+     "iopub.status.busy": "2026-08-05T21:36:51.460624Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.016836Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.016217Z"
     }
    },
    "outputs": [
@@ -665,7 +665,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "39721b53",
+   "id": "fd1ce922",
    "metadata": {},
    "source": [
     "Different *perception*, though. A crystal's neighbours come from Voronoi solid\n",
@@ -676,13 +676,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "0d6d3f4b",
+   "id": "d4caf5a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.300867Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.300381Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.303033Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.302672Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.018557Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.017965Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.021852Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.021412Z"
     }
    },
    "outputs": [
@@ -705,7 +705,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "243c2747",
+   "id": "4ef23fea",
    "metadata": {},
    "source": [
     "## Descriptors that need the graph"
@@ -714,13 +714,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "de400cad",
+   "id": "6ac3765e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.303794Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.303703Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.318192Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.317807Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.022920Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.022819Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.042751Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.042132Z"
     }
    },
    "outputs": [
@@ -816,7 +816,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b7830416",
+   "id": "8b7e0278",
    "metadata": {},
    "source": [
     "Ethanol has **two rotatable bonds** — C–C and C–O. The C–H bonds are terminal\n",
@@ -840,13 +840,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "d5ff851b",
+   "id": "2fcbb502",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.318956Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.318863Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.340866Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.340477Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.043835Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.043724Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.074001Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.073454Z"
     }
    },
    "outputs": [
@@ -985,13 +985,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "737c54b4",
+   "id": "a7424c34",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.341669Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.341577Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.344489Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.344141Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.075031Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.074930Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.078598Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.078135Z"
     }
    },
    "outputs": [
@@ -1012,7 +1012,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "095be8c0",
+   "id": "7122f8b2",
    "metadata": {},
    "source": [
     "Every cut splits nine atoms into pieces that still total nine — mass is\n",
@@ -1034,13 +1034,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "fbe5c20f",
+   "id": "d0cec674",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.345254Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.345159Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.350099Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.349671Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.079567Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.079469Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.085772Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.085298Z"
     }
    },
    "outputs": [
@@ -1112,7 +1112,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "038ae03c",
+   "id": "523192c9",
    "metadata": {},
    "source": [
     "Ring bonds are not cut, because one cut cannot separate a ring — the molecule\n",
@@ -1133,13 +1133,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "01f0c4b7",
+   "id": "44c1e66f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.350854Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.350766Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.363274Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.362826Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.087155Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.086666Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.101571Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.101057Z"
     }
    },
    "outputs": [
@@ -1223,13 +1223,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "89f5ecf8",
+   "id": "fab1878c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.364289Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.364154Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.366463Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.366106Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.102579Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.102480Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.117765Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.117071Z"
     }
    },
    "outputs": [
@@ -1256,7 +1256,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dc3e4583",
+   "id": "795cb61c",
    "metadata": {},
    "source": [
     "The translated copy of water is recognised: matching is on the reduced formula\n",
@@ -1272,13 +1272,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "4916d5b3",
+   "id": "8a624ffa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.367436Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.367343Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.502802Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.502396Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.121429Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.121267Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.276835Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.276300Z"
     }
    },
    "outputs": [
@@ -1315,7 +1315,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cdd40c27",
+   "id": "41e97ece",
    "metadata": {},
    "source": [
     "Crude, and it needs nothing extra. With `py3Dmol` installed the default backend\n",
@@ -1332,13 +1332,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "81a3e7bf",
+   "id": "4ab11564",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.503696Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.503597Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.517588Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.517253Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.277897Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.277788Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.294316Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.293784Z"
     }
    },
    "outputs": [
@@ -1432,7 +1432,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ce49af32",
+   "id": "89b77b74",
    "metadata": {},
    "source": [
     "QC, composition descriptors and even a calculator run unmodified. EMT is\n",
@@ -1448,13 +1448,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "b2a35dcd",
+   "id": "0ac45f7d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.518406Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.518267Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.524291Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.523906Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.295338Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.295226Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.304763Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.304201Z"
     }
    },
    "outputs": [
@@ -1475,7 +1475,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "40cbb409",
+   "id": "4b1fbb95",
    "metadata": {},
    "source": [
     "```{seealso}\n",
@@ -1487,7 +1487,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "926e5ae7",
+   "id": "a42abdad",
    "metadata": {},
    "source": [
     "## Are the bonds the right length?\n",
@@ -1502,13 +1502,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "2e69eb76",
+   "id": "054de4d5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.525074Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.524926Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.541586Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.541199Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.305849Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.305730Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.327921Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.327210Z"
     }
    },
    "outputs": [
@@ -1608,7 +1608,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7e8f42b2",
+   "id": "0eaec02d",
    "metadata": {},
    "source": [
     "Water comes out at **zero** deviation, because it was built at exactly the\n",
@@ -1630,7 +1630,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f44ba34f",
+   "id": "6c5a09bc",
    "metadata": {},
    "source": [
     "## Two questions that both mean \"the same molecule\"\n",
@@ -1646,13 +1646,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "fc547760",
+   "id": "b5517ee3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.542333Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.542237Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.553098Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.552654Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.329010Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.328902Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.340900Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.340412Z"
     }
    },
    "outputs": [
@@ -1682,7 +1682,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a278ed62",
+   "id": "910ea018",
    "metadata": {},
    "source": [
     "**Geometry says two molecules. Topology says one.**\n",
@@ -1699,7 +1699,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d835f51a",
+   "id": "9a9a82c9",
    "metadata": {},
    "source": [
     "## Which bond breaks first\n",
@@ -1713,13 +1713,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "21810c8f",
+   "id": "9fa05c8b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.553986Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.553879Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.576889Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.576386Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.348181Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.341781Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.392407Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.383945Z"
     }
    },
    "outputs": [
@@ -1842,7 +1842,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "130609e7",
+   "id": "78238e39",
    "metadata": {},
    "source": [
     "Eight bonds, one row each, every one named. With the placeholder energies above\n",
@@ -1867,7 +1867,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5b6edfdf",
+   "id": "2a31cefc",
    "metadata": {},
    "source": [
     "## What is actually on the molecule\n",
@@ -1884,13 +1884,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "6fbde968",
+   "id": "b38083ae",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.577975Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.577857Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.586266Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.585838Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.393813Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.393668Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.416132Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.415304Z"
     }
    },
    "outputs": [
@@ -1929,7 +1929,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fe5ac17e",
+   "id": "b3349250",
    "metadata": {},
    "source": [
     "Ethanol comes back as `[CH3];[OH]` — a methyl and a hydroxyl, which is what it\n",
@@ -1952,7 +1952,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3d486ceb",
+   "id": "64cf9bc0",
    "metadata": {},
    "source": [
     "## Free energies, and the mode you trust least\n",
@@ -1970,13 +1970,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "99adb5d7",
+   "id": "aeed8a51",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:29:59.587139Z",
-     "iopub.status.busy": "2026-08-05T00:29:59.587031Z",
-     "iopub.status.idle": "2026-08-05T00:29:59.598098Z",
-     "shell.execute_reply": "2026-08-05T00:29:59.597661Z"
+     "iopub.execute_input": "2026-08-05T21:36:52.417403Z",
+     "iopub.status.busy": "2026-08-05T21:36:52.417252Z",
+     "iopub.status.idle": "2026-08-05T21:36:52.442335Z",
+     "shell.execute_reply": "2026-08-05T21:36:52.441302Z"
     }
    },
    "outputs": [
@@ -2055,7 +2055,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a630a1fa",
+   "id": "3facb367",
    "metadata": {},
    "source": [
     "Same molecule, same energy, one mode moved. The stiff case agrees to four\n",
diff --git a/matverse_guide/docs/tutorials/screening.ipynb b/matverse_guide/docs/tutorials/screening.ipynb
index 4010774..4725203 100644
--- a/matverse_guide/docs/tutorials/screening.ipynb
+++ b/matverse_guide/docs/tutorials/screening.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "fa7bb0b2",
+   "id": "e9ce6f87",
    "metadata": {},
    "source": [
     "# Screening, end to end\n",
@@ -26,13 +26,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "eb541e00",
+   "id": "360ad4fd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:39.359891Z",
-     "iopub.status.busy": "2026-08-05T00:19:39.359756Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.024466Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.023947Z"
+     "iopub.execute_input": "2026-08-05T21:18:12.643566Z",
+     "iopub.status.busy": "2026-08-05T21:18:12.643485Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.527875Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.527222Z"
     }
    },
    "outputs": [
@@ -76,7 +76,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c9991225",
+   "id": "8557f21e",
    "metadata": {},
    "source": [
     "## Build a dataset\n",
@@ -103,13 +103,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "7de34788",
+   "id": "ee8849f9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.025767Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.025398Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.038404Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.038001Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.529541Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.528970Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.543371Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.542888Z"
     }
    },
    "outputs": [
@@ -177,7 +177,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dabc4a38",
+   "id": "3173349f",
    "metadata": {},
    "source": [
     "The candidates are L1₂ orderings of the same three elements, plus a B2 AlNi.\n",
@@ -188,13 +188,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "44eefbbc",
+   "id": "9ffcc08d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.039167Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.039073Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.042016Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.041665Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.544399Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.544288Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.547460Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.546925Z"
     }
    },
    "outputs": [],
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b2365c5f",
+   "id": "7e8ec7a3",
    "metadata": {},
    "source": [
     "Put the published elementals and the candidates into one object. Building it in\n",
@@ -236,13 +236,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "5fc71716",
+   "id": "69ee8ac3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.042700Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.042615Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.049320Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.048974Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.548512Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.548422Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.555698Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.554991Z"
     }
    },
    "outputs": [
@@ -268,7 +268,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f399e630",
+   "id": "c7b26ffd",
    "metadata": {},
    "source": [
     "Seven materials, three elements. `X` is already the composition matrix and `var`\n",
@@ -289,13 +289,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "7985fd77",
+   "id": "d4db7e20",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.050034Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.049945Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.159370Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.158986Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.556544Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.556451Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.666144Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.665760Z"
     }
    },
    "outputs": [
@@ -397,7 +397,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "171e7880",
+   "id": "264ce899",
    "metadata": {},
    "source": [
     "`standardize` deposits two new structure variants rather than replacing the\n",
@@ -407,13 +407,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "2badcb47",
+   "id": "faedb03f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.160118Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.160029Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.162139Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.161812Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.667221Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.667126Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.669379Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.668991Z"
     }
    },
    "outputs": [
@@ -434,7 +434,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "52f7e090",
+   "id": "b36c066d",
    "metadata": {},
    "source": [
     "## Throw out what is broken\n",
@@ -448,13 +448,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "ad4cc246",
+   "id": "bb85a1c0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.162801Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.162718Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.424066Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.423693Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.670191Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.670105Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.940585Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.939943Z"
     }
    },
    "outputs": [
@@ -571,13 +571,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "8de9fc2f",
+   "id": "c1873cce",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.424839Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.424748Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.431281Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.430935Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.941913Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.941770Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.950618Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.950137Z"
     }
    },
    "outputs": [
@@ -599,7 +599,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5ae90896",
+   "id": "1cfc7580",
    "metadata": {},
    "source": [
     "This is one of the few calls that returns instead of depositing, because AnnData\n",
@@ -611,13 +611,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "a2033848",
+   "id": "89a1c907",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.431986Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.431897Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.435577Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.435250Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.951602Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.951496Z",
+     "iopub.status.idle": "2026-08-05T21:18:18.955602Z",
+     "shell.execute_reply": "2026-08-05T21:18:18.955186Z"
     }
    },
    "outputs": [
@@ -644,7 +644,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "53ac8086",
+   "id": "a2586eac",
    "metadata": {},
    "source": [
     "`dedup` blocks on `(reduced formula, space group)` before running pymatgen's\n",
@@ -658,13 +658,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "c6f65974",
+   "id": "9419a8ba",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.436254Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.436166Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.616416Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.615896Z"
+     "iopub.execute_input": "2026-08-05T21:18:18.956476Z",
+     "iopub.status.busy": "2026-08-05T21:18:18.956387Z",
+     "iopub.status.idle": "2026-08-05T21:18:19.153030Z",
+     "shell.execute_reply": "2026-08-05T21:18:19.152515Z"
     }
    },
    "outputs": [
@@ -774,7 +774,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cb8dd5fd",
+   "id": "aca68bed",
    "metadata": {},
    "source": [
     "The relaxed geometry becomes its own variant, `relaxed_emt`, rather than\n",
@@ -787,13 +787,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "4e6210e1",
+   "id": "3bb929a1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.617450Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.617337Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.619659Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.619309Z"
+     "iopub.execute_input": "2026-08-05T21:18:19.154145Z",
+     "iopub.status.busy": "2026-08-05T21:18:19.154050Z",
+     "iopub.status.idle": "2026-08-05T21:18:19.156341Z",
+     "shell.execute_reply": "2026-08-05T21:18:19.155982Z"
     }
    },
    "outputs": [
@@ -825,7 +825,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0910d927",
+   "id": "f805c8b1",
    "metadata": {},
    "source": [
     "`surrogate: True` and `license: 'LGPL-2.1'` are not decoration. The first is\n",
@@ -839,13 +839,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "df4e9f4a",
+   "id": "9f404a7e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.620379Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.620292Z",
-     "iopub.status.idle": "2026-08-05T00:19:45.958500Z",
-     "shell.execute_reply": "2026-08-05T00:19:45.958047Z"
+     "iopub.execute_input": "2026-08-05T21:18:19.157228Z",
+     "iopub.status.busy": "2026-08-05T21:18:19.157143Z",
+     "iopub.status.idle": "2026-08-05T21:18:19.489385Z",
+     "shell.execute_reply": "2026-08-05T21:18:19.488884Z"
     }
    },
    "outputs": [
@@ -955,7 +955,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4cc1bace",
+   "id": "579c7890",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -984,13 +984,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "7b126b76",
+   "id": "e94b8af7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:45.959383Z",
-     "iopub.status.busy": "2026-08-05T00:19:45.959281Z",
-     "iopub.status.idle": "2026-08-05T00:19:46.124461Z",
-     "shell.execute_reply": "2026-08-05T00:19:46.123983Z"
+     "iopub.execute_input": "2026-08-05T21:18:19.490732Z",
+     "iopub.status.busy": "2026-08-05T21:18:19.490619Z",
+     "iopub.status.idle": "2026-08-05T21:18:19.645749Z",
+     "shell.execute_reply": "2026-08-05T21:18:19.645210Z"
     }
    },
    "outputs": [
@@ -1016,7 +1016,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cd555751",
+   "id": "0441587e",
    "metadata": {},
    "source": [
     "The hull plot labels itself when the hull is closed, because a convex hull drawn\n",
@@ -1031,13 +1031,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "98c03ad6",
+   "id": "ca6be7d2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:46.125381Z",
-     "iopub.status.busy": "2026-08-05T00:19:46.125216Z",
-     "iopub.status.idle": "2026-08-05T00:19:46.127482Z",
-     "shell.execute_reply": "2026-08-05T00:19:46.127165Z"
+     "iopub.execute_input": "2026-08-05T21:18:19.646793Z",
+     "iopub.status.busy": "2026-08-05T21:18:19.646694Z",
+     "iopub.status.idle": "2026-08-05T21:18:19.648979Z",
+     "shell.execute_reply": "2026-08-05T21:18:19.648620Z"
     }
    },
    "outputs": [
@@ -1058,7 +1058,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "86885095",
+   "id": "cbf3c744",
    "metadata": {},
    "source": [
     "The object records which kind of number you have, so a later reader does not\n",
@@ -1090,13 +1090,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "ba5edc09",
+   "id": "ab2a9cc3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:46.128173Z",
-     "iopub.status.busy": "2026-08-05T00:19:46.128089Z",
-     "iopub.status.idle": "2026-08-05T00:19:46.303274Z",
-     "shell.execute_reply": "2026-08-05T00:19:46.302739Z"
+     "iopub.execute_input": "2026-08-05T21:18:19.649786Z",
+     "iopub.status.busy": "2026-08-05T21:18:19.649701Z",
+     "iopub.status.idle": "2026-08-05T21:18:19.824001Z",
+     "shell.execute_reply": "2026-08-05T21:18:19.823490Z"
     }
    },
    "outputs": [
@@ -1195,7 +1195,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "38d251fe",
+   "id": "01b166d9",
    "metadata": {},
    "source": [
     "Three rows, three different answers, none of them small.\n",
@@ -1224,13 +1224,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "6fcc1f60",
+   "id": "a2477a17",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:46.304334Z",
-     "iopub.status.busy": "2026-08-05T00:19:46.304160Z",
-     "iopub.status.idle": "2026-08-05T00:19:46.306468Z",
-     "shell.execute_reply": "2026-08-05T00:19:46.306120Z"
+     "iopub.execute_input": "2026-08-05T21:18:19.824960Z",
+     "iopub.status.busy": "2026-08-05T21:18:19.824867Z",
+     "iopub.status.idle": "2026-08-05T21:18:19.827199Z",
+     "shell.execute_reply": "2026-08-05T21:18:19.826721Z"
     }
    },
    "outputs": [
@@ -1258,7 +1258,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "06689f23",
+   "id": "b35627e8",
    "metadata": {},
    "source": [
     "### What it would cost, and whether you could get it\n",
@@ -1270,13 +1270,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "15c1a411",
+   "id": "83461386",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:46.307269Z",
-     "iopub.status.busy": "2026-08-05T00:19:46.307164Z",
-     "iopub.status.idle": "2026-08-05T00:19:46.890100Z",
-     "shell.execute_reply": "2026-08-05T00:19:46.889704Z"
+     "iopub.execute_input": "2026-08-05T21:18:19.828416Z",
+     "iopub.status.busy": "2026-08-05T21:18:19.828323Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.461392Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.460775Z"
     }
    },
    "outputs": [
@@ -1359,7 +1359,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0af8930b",
+   "id": "ddcfbf7f",
    "metadata": {},
    "source": [
     "`cost_per_kg` is raw-material cost from elemental prices — not synthesis, not\n",
@@ -1379,13 +1379,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "ddb074e6",
+   "id": "f5ba859d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:46.890938Z",
-     "iopub.status.busy": "2026-08-05T00:19:46.890843Z",
-     "iopub.status.idle": "2026-08-05T00:19:46.917620Z",
-     "shell.execute_reply": "2026-08-05T00:19:46.917250Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.462445Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.462349Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.490708Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.490091Z"
     }
    },
    "outputs": [
@@ -1407,7 +1407,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c779a8a1",
+   "id": "69c063bc",
    "metadata": {},
    "source": [
     "And since the diffraction pattern is on the same grid convention, a neutron\n",
@@ -1418,7 +1418,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f8a423c2",
+   "id": "08cbc035",
    "metadata": {},
    "source": [
     "### Stable, and stable *when*\n",
@@ -1431,13 +1431,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "3c6dfa12",
+   "id": "592c7b75",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:46.918390Z",
-     "iopub.status.busy": "2026-08-05T00:19:46.918300Z",
-     "iopub.status.idle": "2026-08-05T00:19:46.998405Z",
-     "shell.execute_reply": "2026-08-05T00:19:46.998018Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.491705Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.491614Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.573622Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.573196Z"
     }
    },
    "outputs": [
@@ -1531,7 +1531,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7fa10877",
+   "id": "2e8a0b93",
    "metadata": {},
    "source": [
     "`chempot_window` is the extent of the region in chemical potential space where\n",
@@ -1563,13 +1563,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "ce51c292",
+   "id": "322760f0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:46.999245Z",
-     "iopub.status.busy": "2026-08-05T00:19:46.999092Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.001562Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.001218Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.574721Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.574623Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.577208Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.576731Z"
     }
    },
    "outputs": [
@@ -1591,7 +1591,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "397c496b",
+   "id": "f7f8b0e1",
    "metadata": {},
    "source": [
     "It refuses without a key, and the message says why rather than returning zeros.\n",
@@ -1604,7 +1604,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7abe5142",
+   "id": "68351400",
    "metadata": {},
    "source": [
     "Ask for something light and not too far above the hull — two criteria that pull\n",
@@ -1614,13 +1614,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "d377d4e5",
+   "id": "40998dd7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.002248Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.002161Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.004688Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.004388Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.578109Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.578021Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.580711Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.580302Z"
     }
    },
    "outputs": [
@@ -1646,13 +1646,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "18f7adeb",
+   "id": "10fd2e24",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.005367Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.005281Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.009905Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.009589Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.581523Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.581433Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.586279Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.585876Z"
     }
    },
    "outputs": [
@@ -1760,13 +1760,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "a535eb82",
+   "id": "29f8454b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.010575Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.010494Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.141013Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.140578Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.587091Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.587007Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.718221Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.717734Z"
     }
    },
    "outputs": [
@@ -1806,7 +1806,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a0d3d93f",
+   "id": "6a47a261",
    "metadata": {},
    "source": [
     "Cu and Ni sit at zero and are still grey — they failed on density, not on\n",
@@ -1817,7 +1817,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9f9c05b0",
+   "id": "fcdea3ec",
    "metadata": {},
    "source": [
     "The screen deposits a boolean column and the criteria that produced it. It does\n",
@@ -1834,13 +1834,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "97a25a30",
+   "id": "be280d86",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.141861Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.141768Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.148017Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.147687Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.719376Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.719278Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.725693Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.725309Z"
     }
    },
    "outputs": [
@@ -1957,7 +1957,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "429295e6",
+   "id": "20af8ee7",
    "metadata": {},
    "source": [
     "`pareto_rank` keeps the second-best trade-offs reachable instead of discarding\n",
@@ -1969,13 +1969,13 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "0d20b7e5",
+   "id": "d86847a9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.148749Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.148665Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.153745Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.153382Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.726656Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.726566Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.731664Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.731250Z"
     }
    },
    "outputs": [
@@ -2075,7 +2075,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0f2ba30b",
+   "id": "65af76b9",
    "metadata": {},
    "source": [
     "## Is the reaction downhill?\n",
@@ -2088,13 +2088,13 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "bc50596c",
+   "id": "7652a100",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.154576Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.154473Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.157744Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.157399Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.732601Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.732518Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.735716Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.735410Z"
     }
    },
    "outputs": [
@@ -2121,7 +2121,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "91a14b46",
+   "id": "99f14c57",
    "metadata": {},
    "source": [
     "`favourable: False` and a positive energy — EMT again saying no intermetallic is\n",
@@ -2133,13 +2133,13 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "aa301b56",
+   "id": "b591584a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.158448Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.158365Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.285467Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.284999Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.736756Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.736669Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.851705Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.851289Z"
     }
    },
    "outputs": [
@@ -2176,7 +2176,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "44fcf458",
+   "id": "22127923",
    "metadata": {},
    "source": [
     "## What the object remembers"
@@ -2185,13 +2185,13 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "cfe99e8f",
+   "id": "0db3039f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.286331Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.286235Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.288243Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.287937Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.852801Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.852707Z",
+     "iopub.status.idle": "2026-08-05T21:18:20.854803Z",
+     "shell.execute_reply": "2026-08-05T21:18:20.854413Z"
     }
    },
    "outputs": [
@@ -2222,13 +2222,13 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "id": "6611c9cc",
+   "id": "c1abb18b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:19:47.288901Z",
-     "iopub.status.busy": "2026-08-05T00:19:47.288818Z",
-     "iopub.status.idle": "2026-08-05T00:19:47.476548Z",
-     "shell.execute_reply": "2026-08-05T00:19:47.476111Z"
+     "iopub.execute_input": "2026-08-05T21:18:20.855584Z",
+     "iopub.status.busy": "2026-08-05T21:18:20.855501Z",
+     "iopub.status.idle": "2026-08-05T21:18:21.031151Z",
+     "shell.execute_reply": "2026-08-05T21:18:21.030712Z"
     }
    },
    "outputs": [
@@ -2254,7 +2254,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b322bf98",
+   "id": "e1f3847e",
    "metadata": {},
    "source": [
     "Parameters are recorded with each call, so the history replays as code rather\n",
diff --git a/matverse_guide/docs/tutorials/structure_and_bands.ipynb b/matverse_guide/docs/tutorials/structure_and_bands.ipynb
index d1fae4e..c2715f7 100644
--- a/matverse_guide/docs/tutorials/structure_and_bands.ipynb
+++ b/matverse_guide/docs/tutorials/structure_and_bands.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "2874d776",
+   "id": "65793f56",
    "metadata": {},
    "source": [
     "# Local environments and electronic structure\n",
@@ -26,13 +26,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "2c3828b7",
+   "id": "80527acb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:13.988862Z",
-     "iopub.status.busy": "2026-08-05T00:23:13.988723Z",
-     "iopub.status.idle": "2026-08-05T00:23:19.931697Z",
-     "shell.execute_reply": "2026-08-05T00:23:19.931124Z"
+     "iopub.execute_input": "2026-08-05T21:22:13.824803Z",
+     "iopub.status.busy": "2026-08-05T21:22:13.824698Z",
+     "iopub.status.idle": "2026-08-05T21:22:23.784570Z",
+     "shell.execute_reply": "2026-08-05T21:22:23.784050Z"
     }
    },
    "outputs": [
@@ -76,7 +76,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -92,7 +92,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4c6d32af",
+   "id": "73a680e0",
    "metadata": {},
    "source": [
     "That report is the point of `mv.pl.set_style` doing more than set rcParams:\n",
@@ -111,13 +111,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "9cfaaa51",
+   "id": "a45fcbdd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:19.933316Z",
-     "iopub.status.busy": "2026-08-05T00:23:19.932924Z",
-     "iopub.status.idle": "2026-08-05T00:23:19.958922Z",
-     "shell.execute_reply": "2026-08-05T00:23:19.958258Z"
+     "iopub.execute_input": "2026-08-05T21:22:23.786465Z",
+     "iopub.status.busy": "2026-08-05T21:22:23.785919Z",
+     "iopub.status.idle": "2026-08-05T21:22:23.848043Z",
+     "shell.execute_reply": "2026-08-05T21:22:23.847548Z"
     }
    },
    "outputs": [
@@ -179,7 +179,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6e6052f9",
+   "id": "22dc6d69",
    "metadata": {},
    "source": [
     "## Coordination: the sites axis again\n",
@@ -191,13 +191,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "42481e2c",
+   "id": "d6bd5f36",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:19.961113Z",
-     "iopub.status.busy": "2026-08-05T00:23:19.960952Z",
-     "iopub.status.idle": "2026-08-05T00:23:20.469804Z",
-     "shell.execute_reply": "2026-08-05T00:23:20.469358Z"
+     "iopub.execute_input": "2026-08-05T21:22:23.849278Z",
+     "iopub.status.busy": "2026-08-05T21:22:23.849150Z",
+     "iopub.status.idle": "2026-08-05T21:22:24.807252Z",
+     "shell.execute_reply": "2026-08-05T21:22:24.806797Z"
     }
    },
    "outputs": [
@@ -227,7 +227,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d80185f7",
+   "id": "8ec84238",
    "metadata": {},
    "source": [
     "**Li 6, Fe 6, P 4, O 4** — the published olivine coordination, recovered from\n",
@@ -242,13 +242,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "820ddb40",
+   "id": "f296c799",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:20.470831Z",
-     "iopub.status.busy": "2026-08-05T00:23:20.470691Z",
-     "iopub.status.idle": "2026-08-05T00:23:20.473117Z",
-     "shell.execute_reply": "2026-08-05T00:23:20.472664Z"
+     "iopub.execute_input": "2026-08-05T21:22:24.808376Z",
+     "iopub.status.busy": "2026-08-05T21:22:24.808252Z",
+     "iopub.status.idle": "2026-08-05T21:22:24.810570Z",
+     "shell.execute_reply": "2026-08-05T21:22:24.810188Z"
     }
    },
    "outputs": [
@@ -274,13 +274,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "6c02f7da",
+   "id": "88bc4c30",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:20.473882Z",
-     "iopub.status.busy": "2026-08-05T00:23:20.473793Z",
-     "iopub.status.idle": "2026-08-05T00:23:20.527798Z",
-     "shell.execute_reply": "2026-08-05T00:23:20.527399Z"
+     "iopub.execute_input": "2026-08-05T21:22:24.811378Z",
+     "iopub.status.busy": "2026-08-05T21:22:24.811282Z",
+     "iopub.status.idle": "2026-08-05T21:22:24.916861Z",
+     "shell.execute_reply": "2026-08-05T21:22:24.916408Z"
     }
    },
    "outputs": [
@@ -367,7 +367,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c7c1119d",
+   "id": "0ad8153f",
    "metadata": {},
    "source": [
     "## A number is not a shape\n",
@@ -382,13 +382,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "b629ecfd",
+   "id": "a5512f66",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:20.528639Z",
-     "iopub.status.busy": "2026-08-05T00:23:20.528545Z",
-     "iopub.status.idle": "2026-08-05T00:23:21.444689Z",
-     "shell.execute_reply": "2026-08-05T00:23:21.444274Z"
+     "iopub.execute_input": "2026-08-05T21:22:24.926187Z",
+     "iopub.status.busy": "2026-08-05T21:22:24.926051Z",
+     "iopub.status.idle": "2026-08-05T21:22:26.146040Z",
+     "shell.execute_reply": "2026-08-05T21:22:26.145301Z"
     }
    },
    "outputs": [
@@ -525,13 +525,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "8cad4405",
+   "id": "85910661",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:21.445599Z",
-     "iopub.status.busy": "2026-08-05T00:23:21.445508Z",
-     "iopub.status.idle": "2026-08-05T00:23:21.449203Z",
-     "shell.execute_reply": "2026-08-05T00:23:21.448843Z"
+     "iopub.execute_input": "2026-08-05T21:22:26.147656Z",
+     "iopub.status.busy": "2026-08-05T21:22:26.147505Z",
+     "iopub.status.idle": "2026-08-05T21:22:26.152119Z",
+     "shell.execute_reply": "2026-08-05T21:22:26.151631Z"
     }
    },
    "outputs": [
@@ -558,7 +558,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "129cd45d",
+   "id": "25d76863",
    "metadata": {},
    "source": [
     "This is the structural story of an olivine cathode, in one column.\n",
@@ -575,13 +575,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "d896e7e4",
+   "id": "14a87046",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:21.450034Z",
-     "iopub.status.busy": "2026-08-05T00:23:21.449893Z",
-     "iopub.status.idle": "2026-08-05T00:23:21.546934Z",
-     "shell.execute_reply": "2026-08-05T00:23:21.546513Z"
+     "iopub.execute_input": "2026-08-05T21:22:26.153124Z",
+     "iopub.status.busy": "2026-08-05T21:22:26.153005Z",
+     "iopub.status.idle": "2026-08-05T21:22:26.307006Z",
+     "shell.execute_reply": "2026-08-05T21:22:26.306297Z"
     }
    },
    "outputs": [
@@ -624,7 +624,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "01579dc6",
+   "id": "a29b5aae",
    "metadata": {},
    "source": [
     "## The bond network belongs in `obsp`\n",
@@ -637,13 +637,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "9609342f",
+   "id": "71813181",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:21.547835Z",
-     "iopub.status.busy": "2026-08-05T00:23:21.547687Z",
-     "iopub.status.idle": "2026-08-05T00:23:21.705020Z",
-     "shell.execute_reply": "2026-08-05T00:23:21.704585Z"
+     "iopub.execute_input": "2026-08-05T21:22:26.308209Z",
+     "iopub.status.busy": "2026-08-05T21:22:26.308074Z",
+     "iopub.status.idle": "2026-08-05T21:22:26.579472Z",
+     "shell.execute_reply": "2026-08-05T21:22:26.578990Z"
     }
    },
    "outputs": [
@@ -667,13 +667,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "ad01da72",
+   "id": "9866cee7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:21.705901Z",
-     "iopub.status.busy": "2026-08-05T00:23:21.705803Z",
-     "iopub.status.idle": "2026-08-05T00:23:21.708686Z",
-     "shell.execute_reply": "2026-08-05T00:23:21.708288Z"
+     "iopub.execute_input": "2026-08-05T21:22:26.580832Z",
+     "iopub.status.busy": "2026-08-05T21:22:26.580622Z",
+     "iopub.status.idle": "2026-08-05T21:22:26.583719Z",
+     "shell.execute_reply": "2026-08-05T21:22:26.583373Z"
     }
    },
    "outputs": [
@@ -695,7 +695,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "62122270",
+   "id": "00dbd2fc",
    "metadata": {},
    "source": [
     "The degree of the graph is the coordination number, which it had better be.\n",
@@ -712,13 +712,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "d38de828",
+   "id": "d0d7c406",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:21.709546Z",
-     "iopub.status.busy": "2026-08-05T00:23:21.709401Z",
-     "iopub.status.idle": "2026-08-05T00:23:21.715455Z",
-     "shell.execute_reply": "2026-08-05T00:23:21.715052Z"
+     "iopub.execute_input": "2026-08-05T21:22:26.584922Z",
+     "iopub.status.busy": "2026-08-05T21:22:26.584808Z",
+     "iopub.status.idle": "2026-08-05T21:22:26.603020Z",
+     "shell.execute_reply": "2026-08-05T21:22:26.602543Z"
     }
    },
    "outputs": [
@@ -786,13 +786,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "46d64979",
+   "id": "d5db56b7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:21.716274Z",
-     "iopub.status.busy": "2026-08-05T00:23:21.716157Z",
-     "iopub.status.idle": "2026-08-05T00:23:21.720759Z",
-     "shell.execute_reply": "2026-08-05T00:23:21.720394Z"
+     "iopub.execute_input": "2026-08-05T21:22:26.604138Z",
+     "iopub.status.busy": "2026-08-05T21:22:26.604021Z",
+     "iopub.status.idle": "2026-08-05T21:22:26.609293Z",
+     "shell.execute_reply": "2026-08-05T21:22:26.608871Z"
     }
    },
    "outputs": [
@@ -848,7 +848,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "04c29e2c",
+   "id": "070ecb4e",
    "metadata": {},
    "source": [
     "`coordination_spread` is the one worth screening on: zero means every atom sits\n",
@@ -865,13 +865,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "152e52ab",
+   "id": "996de827",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:21.721566Z",
-     "iopub.status.busy": "2026-08-05T00:23:21.721476Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.375772Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.375232Z"
+     "iopub.execute_input": "2026-08-05T21:22:26.610355Z",
+     "iopub.status.busy": "2026-08-05T21:22:26.610235Z",
+     "iopub.status.idle": "2026-08-05T21:22:27.485715Z",
+     "shell.execute_reply": "2026-08-05T21:22:27.485210Z"
     }
    },
    "outputs": [
@@ -937,7 +937,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fda681f8",
+   "id": "10f80233",
    "metadata": {},
    "source": [
     "For an ion conductor this is the question. A framework whose octahedra share\n",
@@ -973,13 +973,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "3271f64d",
+   "id": "93ae9b73",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.376708Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.376615Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.541026Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.540609Z"
+     "iopub.execute_input": "2026-08-05T21:22:27.498882Z",
+     "iopub.status.busy": "2026-08-05T21:22:27.498643Z",
+     "iopub.status.idle": "2026-08-05T21:22:27.821342Z",
+     "shell.execute_reply": "2026-08-05T21:22:27.820938Z"
     }
    },
    "outputs": [
@@ -1077,7 +1077,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e47faee3",
+   "id": "789436f9",
    "metadata": {},
    "source": [
     "Graphite 2D, diamond 3D, MoS2 2D — and `n_components` counts two layers per\n",
@@ -1092,13 +1092,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "b24ee955",
+   "id": "5ff6982c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.541934Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.541841Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.546326Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.545981Z"
+     "iopub.execute_input": "2026-08-05T21:22:27.822661Z",
+     "iopub.status.busy": "2026-08-05T21:22:27.822560Z",
+     "iopub.status.idle": "2026-08-05T21:22:27.827554Z",
+     "shell.execute_reply": "2026-08-05T21:22:27.827197Z"
     }
    },
    "outputs": [
@@ -1170,7 +1170,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a8c48f47",
+   "id": "0e695173",
    "metadata": {},
    "source": [
     "`dimensionality_strategy` is recorded next to the answer for the same reason\n",
@@ -1189,13 +1189,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "e9035de7",
+   "id": "ece9c9e8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.547127Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.547039Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.611115Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.610577Z"
+     "iopub.execute_input": "2026-08-05T21:22:27.828309Z",
+     "iopub.status.busy": "2026-08-05T21:22:27.828215Z",
+     "iopub.status.idle": "2026-08-05T21:22:27.971652Z",
+     "shell.execute_reply": "2026-08-05T21:22:27.971237Z"
     }
    },
    "outputs": [
@@ -1266,7 +1266,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e1ffb319",
+   "id": "01230872",
    "metadata": {},
    "source": [
     "Γ–X–W–K–L–U, the standard fcc path. Note that Cu and Al get **different numbers\n",
@@ -1292,13 +1292,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "49b17877",
+   "id": "489f9ea1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.612101Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.611940Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.655471Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.655039Z"
+     "iopub.execute_input": "2026-08-05T21:22:27.973072Z",
+     "iopub.status.busy": "2026-08-05T21:22:27.972979Z",
+     "iopub.status.idle": "2026-08-05T21:22:28.054670Z",
+     "shell.execute_reply": "2026-08-05T21:22:28.054254Z"
     }
    },
    "outputs": [
@@ -1346,7 +1346,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "385f72ee",
+   "id": "49561169",
    "metadata": {},
    "source": [
     "**Bands × k-points.** One row per band per spin per material, energies along a\n",
@@ -1357,13 +1357,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "c80d4ce1",
+   "id": "c6e9e824",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.656380Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.656227Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.663068Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.662648Z"
+     "iopub.execute_input": "2026-08-05T21:22:28.056890Z",
+     "iopub.status.busy": "2026-08-05T21:22:28.056798Z",
+     "iopub.status.idle": "2026-08-05T21:22:28.063196Z",
+     "shell.execute_reply": "2026-08-05T21:22:28.062826Z"
     }
    },
    "outputs": [
@@ -1517,13 +1517,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "af35a0b3",
+   "id": "b121cf80",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.663906Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.663813Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.667563Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.667172Z"
+     "iopub.execute_input": "2026-08-05T21:22:28.065325Z",
+     "iopub.status.busy": "2026-08-05T21:22:28.065159Z",
+     "iopub.status.idle": "2026-08-05T21:22:28.068647Z",
+     "shell.execute_reply": "2026-08-05T21:22:28.068331Z"
     }
    },
    "outputs": [
@@ -1596,7 +1596,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "39669040",
+   "id": "7c28e733",
    "metadata": {},
    "source": [
     "Two things about the axis are worth reading carefully.\n",
@@ -1615,13 +1615,13 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "8a7633ce",
+   "id": "2313cb8a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.668449Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.668349Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.846023Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.845523Z"
+     "iopub.execute_input": "2026-08-05T21:22:28.069665Z",
+     "iopub.status.busy": "2026-08-05T21:22:28.069505Z",
+     "iopub.status.idle": "2026-08-05T21:22:28.316002Z",
+     "shell.execute_reply": "2026-08-05T21:22:28.315507Z"
     }
    },
    "outputs": [
@@ -1658,7 +1658,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc76d65b",
+   "id": "c5644256",
    "metadata": {},
    "source": [
     "## What the bands say\n",
@@ -1670,13 +1670,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "9e5f934c",
+   "id": "750e7b5b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.847050Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.846950Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.854174Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.853803Z"
+     "iopub.execute_input": "2026-08-05T21:22:28.317160Z",
+     "iopub.status.busy": "2026-08-05T21:22:28.317043Z",
+     "iopub.status.idle": "2026-08-05T21:22:28.324396Z",
+     "shell.execute_reply": "2026-08-05T21:22:28.323946Z"
     }
    },
    "outputs": [
@@ -1755,7 +1755,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b51a1de9",
+   "id": "a9c51ab8",
    "metadata": {},
    "source": [
     "Metals, gap zero. Correct: two of the four bands cross the Fermi level, and a\n",
@@ -1768,13 +1768,13 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "de445cb9",
+   "id": "9f25c5b5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.855115Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.855018Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.901489Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.900937Z"
+     "iopub.execute_input": "2026-08-05T21:22:28.325419Z",
+     "iopub.status.busy": "2026-08-05T21:22:28.325312Z",
+     "iopub.status.idle": "2026-08-05T21:22:28.384219Z",
+     "shell.execute_reply": "2026-08-05T21:22:28.383824Z"
     }
    },
    "outputs": [
@@ -1869,7 +1869,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ecc7e344",
+   "id": "7ca89de1",
    "metadata": {},
    "source": [
     "1.70 eV, which is exactly what the model was built with, and **direct** —\n",
@@ -1943,13 +1943,13 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "b04fcc16",
+   "id": "ef8056d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.902413Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.902320Z",
-     "iopub.status.idle": "2026-08-05T00:23:22.928950Z",
-     "shell.execute_reply": "2026-08-05T00:23:22.928401Z"
+     "iopub.execute_input": "2026-08-05T21:22:28.385350Z",
+     "iopub.status.busy": "2026-08-05T21:22:28.385167Z",
+     "iopub.status.idle": "2026-08-05T21:22:28.413914Z",
+     "shell.execute_reply": "2026-08-05T21:22:28.413602Z"
     }
    },
    "outputs": [
@@ -1972,7 +1972,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4af237a6",
+   "id": "0f3cebbd",
    "metadata": {},
    "source": [
     "It names the install rather than returning zeros — and the docstring says why\n",
@@ -1997,13 +1997,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "d2b15349",
+   "id": "f06f2f73",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:23:22.930197Z",
-     "iopub.status.busy": "2026-08-05T00:23:22.929714Z",
-     "iopub.status.idle": "2026-08-05T00:28:32.869412Z",
-     "shell.execute_reply": "2026-08-05T00:28:32.868702Z"
+     "iopub.execute_input": "2026-08-05T21:22:28.415521Z",
+     "iopub.status.busy": "2026-08-05T21:22:28.414734Z",
+     "iopub.status.idle": "2026-08-05T21:30:03.671791Z",
+     "shell.execute_reply": "2026-08-05T21:30:03.671271Z"
     }
    },
    "outputs": [
@@ -2057,7 +2057,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1d8eca68",
+   "id": "7f0a4cab",
    "metadata": {},
    "source": [
     "The first ratio is 1.00 and the second is 0.66, and **both are correct**. The\n",
@@ -2076,19 +2076,87 @@
     "an insulator rather than raised as an error.\n",
     "```\n",
     "\n",
-    "## What both objects remember"
+    "Because that interpolation is expensive, `mv.elec.fermi_surface` keeps each\n",
+    "sheet's vertices and faces in `uns`, and `mv.pl.fermi_surface` draws the stored\n",
+    "mesh instead of repeating the work. A plotting function that recomputed for\n",
+    "minutes on every call would not be an interface worth having; a few hundred\n",
+    "kilobytes buys it away."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "4ad90947",
+   "id": "55a7eb1b",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-08-05T21:30:03.673385Z",
+     "iopub.status.busy": "2026-08-05T21:30:03.672994Z",
+     "iopub.status.idle": "2026-08-05T21:35:15.361600Z",
+     "shell.execute_reply": "2026-08-05T21:35:15.361012Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 506,
+       "width": 1041
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "try:\n",
+    "    import matplotlib.pyplot as plt\n",
+    "\n",
+    "    surfaces = mv.data.from_structures([cell, cell])\n",
+    "    surfaces.obs_names = [\"inside the zone\", \"clipped by the zone\"]\n",
+    "    both = [BandStructure(frac, {Spin.up: energies[None, :]}, reciprocal, ef,\n",
+    "                          structure=cell) for ef in (0.8, 3.0)]\n",
+    "    mv.elec.fermi_surface(surfaces, both, level=\"free-electron\",\n",
+    "                          interpolation_factor=3)\n",
+    "\n",
+    "    figure = plt.figure(figsize=(11, 5))\n",
+    "    for position, name in enumerate(surfaces.obs_names, start=1):\n",
+    "        panel = figure.add_subplot(1, 2, position, projection=\"3d\")\n",
+    "        mv.pl.fermi_surface(surfaces, level=\"free-electron\", row=name,\n",
+    "                            ax=panel)\n",
+    "    figure.tight_layout()\n",
+    "except ImportError:\n",
+    "    print(\"needs IFermi; pip install matverse[fermi]\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "70f81c04",
+   "metadata": {},
+   "source": [
+    "The left surface is a sphere. The right one is the same sphere at a higher Fermi\n",
+    "level, and the **flat circular faces** are where it has grown past the zone\n",
+    "boundary and been truncated. Those faces are physics, not a rendering artefact —\n",
+    "the sphere genuinely stops there, and the area that remains is the one that\n",
+    "carries current.\n",
+    "\n",
+    "## What both objects remember"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "250a348d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:32.871650Z",
-     "iopub.status.busy": "2026-08-05T00:28:32.870536Z",
-     "iopub.status.idle": "2026-08-05T00:28:32.874217Z",
-     "shell.execute_reply": "2026-08-05T00:28:32.873759Z"
+     "iopub.execute_input": "2026-08-05T21:35:15.367996Z",
+     "iopub.status.busy": "2026-08-05T21:35:15.367880Z",
+     "iopub.status.idle": "2026-08-05T21:35:15.370043Z",
+     "shell.execute_reply": "2026-08-05T21:35:15.369722Z"
     }
    },
    "outputs": [
@@ -2110,7 +2178,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a3d06241",
+   "id": "d33c0da1",
    "metadata": {},
    "source": [
     "```{seealso}\n",
@@ -2123,7 +2191,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a8feba47",
+   "id": "34f3a9dc",
    "metadata": {},
    "source": [
     "## How sure is a coordination number?\n",
@@ -2138,14 +2206,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "id": "b0f10477",
+   "execution_count": 27,
+   "id": "c240412f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:32.875098Z",
-     "iopub.status.busy": "2026-08-05T00:28:32.874947Z",
-     "iopub.status.idle": "2026-08-05T00:28:33.356573Z",
-     "shell.execute_reply": "2026-08-05T00:28:33.356075Z"
+     "iopub.execute_input": "2026-08-05T21:35:15.370774Z",
+     "iopub.status.busy": "2026-08-05T21:35:15.370690Z",
+     "iopub.status.idle": "2026-08-05T21:35:15.841255Z",
+     "shell.execute_reply": "2026-08-05T21:35:15.840826Z"
     }
    },
    "outputs": [
@@ -2265,7 +2333,7 @@
        "TiO2:1      Ti           10.0                   6.0        0.978383"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2290,7 +2358,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "81193fd1",
+   "id": "adc30f69",
    "metadata": {},
    "source": [
     "Sodium gets six faces and six neighbours, every weight 1.0 — nothing to decide.\n",
@@ -2307,14 +2375,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "id": "7bcf8b8e",
+   "execution_count": 28,
+   "id": "a056a282",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:33.357903Z",
-     "iopub.status.busy": "2026-08-05T00:28:33.357800Z",
-     "iopub.status.idle": "2026-08-05T00:28:33.383182Z",
-     "shell.execute_reply": "2026-08-05T00:28:33.382696Z"
+     "iopub.execute_input": "2026-08-05T21:35:15.842123Z",
+     "iopub.status.busy": "2026-08-05T21:35:15.842031Z",
+     "iopub.status.idle": "2026-08-05T21:35:15.866807Z",
+     "shell.execute_reply": "2026-08-05T21:35:15.866284Z"
     }
    },
    "outputs": [
@@ -2340,7 +2408,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c49284b2",
+   "id": "e60ae8b7",
    "metadata": {},
    "source": [
     "0.58 against 1.00. That is the column to sort on when auditing coordination\n",
@@ -2351,7 +2419,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31d8d520",
+   "id": "5e2d4ebc",
    "metadata": {},
    "source": [
     "## Who counts as a neighbour?\n",
@@ -2366,14 +2434,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "id": "196f4575",
+   "execution_count": 29,
+   "id": "f34cef1f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:33.384178Z",
-     "iopub.status.busy": "2026-08-05T00:28:33.384082Z",
-     "iopub.status.idle": "2026-08-05T00:28:34.017228Z",
-     "shell.execute_reply": "2026-08-05T00:28:34.016653Z"
+     "iopub.execute_input": "2026-08-05T21:35:15.867719Z",
+     "iopub.status.busy": "2026-08-05T21:35:15.867567Z",
+     "iopub.status.idle": "2026-08-05T21:35:16.510965Z",
+     "shell.execute_reply": "2026-08-05T21:35:16.510524Z"
     }
    },
    "outputs": [
@@ -2468,7 +2536,7 @@
        "0:7      Cl                   6.0                 O:6"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2510,7 +2578,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6b9af690",
+   "id": "a1701cb5",
    "metadata": {},
    "source": [
     "Six and octahedral for every site, which is what rocksalt is.\n",
@@ -2522,14 +2590,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "id": "ba1995b3",
+   "execution_count": 30,
+   "id": "2e14781f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:34.018264Z",
-     "iopub.status.busy": "2026-08-05T00:28:34.018156Z",
-     "iopub.status.idle": "2026-08-05T00:28:34.208722Z",
-     "shell.execute_reply": "2026-08-05T00:28:34.208217Z"
+     "iopub.execute_input": "2026-08-05T21:35:16.511888Z",
+     "iopub.status.busy": "2026-08-05T21:35:16.511798Z",
+     "iopub.status.idle": "2026-08-05T21:35:16.701639Z",
+     "shell.execute_reply": "2026-08-05T21:35:16.701135Z"
     }
    },
    "outputs": [
@@ -2615,7 +2683,7 @@
        "0:7      Cl                   4.0"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2631,7 +2699,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8315ca1a",
+   "id": "cd5581d9",
    "metadata": {},
    "source": [
     "Lower coordination, from an identical structure. A geometric criterion would\n",
@@ -2657,7 +2725,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "49f5ada1",
+   "id": "c8381d23",
    "metadata": {},
    "source": [
     "## What photoemission actually sees\n",
@@ -2674,14 +2742,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "id": "ee1c43ba",
+   "execution_count": 31,
+   "id": "1ef0ecab",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:34.209844Z",
-     "iopub.status.busy": "2026-08-05T00:28:34.209731Z",
-     "iopub.status.idle": "2026-08-05T00:28:34.225512Z",
-     "shell.execute_reply": "2026-08-05T00:28:34.224996Z"
+     "iopub.execute_input": "2026-08-05T21:35:16.702594Z",
+     "iopub.status.busy": "2026-08-05T21:35:16.702447Z",
+     "iopub.status.idle": "2026-08-05T21:35:16.716912Z",
+     "shell.execute_reply": "2026-08-05T21:35:16.716515Z"
     }
    },
    "outputs": [
@@ -2721,7 +2789,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d4ee9ab7",
+   "id": "7dcc3089",
    "metadata": {},
    "source": [
     "Twenty, exactly the ratio of the two cross-sections. The oxygen states are\n",
@@ -2735,14 +2803,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "id": "44ca495f",
+   "execution_count": 32,
+   "id": "88376db2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:28:34.226493Z",
-     "iopub.status.busy": "2026-08-05T00:28:34.226393Z",
-     "iopub.status.idle": "2026-08-05T00:28:34.402594Z",
-     "shell.execute_reply": "2026-08-05T00:28:34.402160Z"
+     "iopub.execute_input": "2026-08-05T21:35:16.717882Z",
+     "iopub.status.busy": "2026-08-05T21:35:16.717691Z",
+     "iopub.status.idle": "2026-08-05T21:35:16.877935Z",
+     "shell.execute_reply": "2026-08-05T21:35:16.877451Z"
     }
    },
    "outputs": [
@@ -2752,7 +2820,7 @@
        "(0.0, 9.0)"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2788,7 +2856,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4d7af0af",
+   "id": "938ba253",
    "metadata": {},
    "source": [
     "```{note}\n",
diff --git a/matverse_guide/docs/tutorials/surfaces_and_adsorption.ipynb b/matverse_guide/docs/tutorials/surfaces_and_adsorption.ipynb
index 553ab1a..14bdc45 100644
--- a/matverse_guide/docs/tutorials/surfaces_and_adsorption.ipynb
+++ b/matverse_guide/docs/tutorials/surfaces_and_adsorption.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "da51772c",
+   "id": "4f47800d",
    "metadata": {},
    "source": [
     "# Surfaces and adsorption\n",
@@ -20,13 +20,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "ea16a780",
+   "id": "3833836b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:20:58.468773Z",
-     "iopub.status.busy": "2026-08-05T00:20:58.468695Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.261185Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.260574Z"
+     "iopub.execute_input": "2026-08-05T21:19:31.596603Z",
+     "iopub.status.busy": "2026-08-05T21:19:31.596527Z",
+     "iopub.status.idle": "2026-08-05T21:19:36.737670Z",
+     "shell.execute_reply": "2026-08-05T21:19:36.737225Z"
     }
    },
    "outputs": [
@@ -70,7 +70,7 @@
       " / / / / / / /_/ / /_ | |/ /  __/ /  (__  )  __/\n",
       "/_/ /_/ /_/\\__,_/\\__/ |___/\\___/_/  /____/\\___/\n",
       "\n",
-      "🔖 Version: 0.1.71   🧮 Functions: 216   📚 Tutorials: https://matverse.readthedocs.io/\n",
+      "🔖 Version: 0.1.71   🧮 Functions: 218   📚 Tutorials: https://matverse.readthedocs.io/\n",
       "✅ set_style complete.\n",
       "\n"
      ]
@@ -86,7 +86,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7d609c09",
+   "id": "7c5f174b",
    "metadata": {},
    "source": [
     "## Loading a dataset\n",
@@ -99,13 +99,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "17df35c7",
+   "id": "1313621b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.262640Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.262233Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.285548Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.285081Z"
+     "iopub.execute_input": "2026-08-05T21:19:36.738980Z",
+     "iopub.status.busy": "2026-08-05T21:19:36.738631Z",
+     "iopub.status.idle": "2026-08-05T21:19:36.760167Z",
+     "shell.execute_reply": "2026-08-05T21:19:36.759824Z"
     }
    },
    "outputs": [
@@ -173,7 +173,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9cf2d705",
+   "id": "22be3e65",
    "metadata": {},
    "source": [
     "The bulk energy is not optional bookkeeping — a surface energy is the cost of\n",
@@ -191,13 +191,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "4586dd8b",
+   "id": "13ba3b80",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.286495Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.286396Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.480424Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.479919Z"
+     "iopub.execute_input": "2026-08-05T21:19:36.760982Z",
+     "iopub.status.busy": "2026-08-05T21:19:36.760886Z",
+     "iopub.status.idle": "2026-08-05T21:19:36.951571Z",
+     "shell.execute_reply": "2026-08-05T21:19:36.951221Z"
     }
    },
    "outputs": [
@@ -225,13 +225,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "33c6e8fd",
+   "id": "be1ded90",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.481411Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.481311Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.492366Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.491935Z"
+     "iopub.execute_input": "2026-08-05T21:19:36.952372Z",
+     "iopub.status.busy": "2026-08-05T21:19:36.952279Z",
+     "iopub.status.idle": "2026-08-05T21:19:36.962697Z",
+     "shell.execute_reply": "2026-08-05T21:19:36.962371Z"
     }
    },
    "outputs": [
@@ -346,7 +346,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3fec099a",
+   "id": "5a0790c6",
    "metadata": {},
    "source": [
     "More rows out than in, with `obs['parent']` pointing back at the bulk material —\n",
@@ -362,13 +362,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "cebfe52f",
+   "id": "28eb8b36",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.493265Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.493161Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.495633Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.495258Z"
+     "iopub.execute_input": "2026-08-05T21:19:36.963473Z",
+     "iopub.status.busy": "2026-08-05T21:19:36.963345Z",
+     "iopub.status.idle": "2026-08-05T21:19:36.965605Z",
+     "shell.execute_reply": "2026-08-05T21:19:36.965269Z"
     }
    },
    "outputs": [
@@ -395,7 +395,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c4ee3903",
+   "id": "2d2999f1",
    "metadata": {},
    "source": [
     "## Surface energies"
@@ -404,13 +404,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "d3b4bbbc",
+   "id": "a597c78d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.496453Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.496361Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.519878Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.519466Z"
+     "iopub.execute_input": "2026-08-05T21:19:36.966282Z",
+     "iopub.status.busy": "2026-08-05T21:19:36.966186Z",
+     "iopub.status.idle": "2026-08-05T21:19:36.988904Z",
+     "shell.execute_reply": "2026-08-05T21:19:36.988504Z"
     }
    },
    "outputs": [
@@ -439,7 +439,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "04fac6af",
+   "id": "914e77a5",
    "metadata": {},
    "source": [
     "**(111) < (100) < (110)**, which is the literature ordering for copper and for\n",
@@ -454,20 +454,20 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "55dd19af",
+   "id": "1907730d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.520820Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.520722Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.640195Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.639656Z"
+     "iopub.execute_input": "2026-08-05T21:19:36.989729Z",
+     "iopub.status.busy": "2026-08-05T21:19:36.989621Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.104506Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.104100Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f4b0d4bbcb0>"
+       "<matplotlib.legend.Legend at 0x7f62a0a9e990>"
       ]
      },
      "execution_count": 7,
@@ -507,7 +507,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f489d222",
+   "id": "c0f6d9ca",
    "metadata": {},
    "source": [
     "## When a slab is not the bulk formula\n",
@@ -526,13 +526,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "d7d848f7",
+   "id": "8e8dd196",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.641568Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.641469Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.814671Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.814202Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.105367Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.105207Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.274637Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.274271Z"
     }
    },
    "outputs": [
@@ -623,7 +623,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "592d55e7",
+   "id": "5df98430",
    "metadata": {},
    "source": [
     "Four of these five are not Cu₃Au. The leftover atoms have to come from somewhere\n",
@@ -635,13 +635,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "5233f7db",
+   "id": "ae120bd3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.815612Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.815516Z",
-     "iopub.status.idle": "2026-08-05T00:21:04.821458Z",
-     "shell.execute_reply": "2026-08-05T00:21:04.821051Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.275619Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.275432Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.280986Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.280601Z"
     }
    },
    "outputs": [
@@ -735,7 +735,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c74bb843",
+   "id": "61390270",
    "metadata": {},
    "source": [
     "### Referencing the surplus to a reservoir\n",
@@ -753,13 +753,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "5e685b71",
+   "id": "29a9d130",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:04.822299Z",
-     "iopub.status.busy": "2026-08-05T00:21:04.822200Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.377307Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.376731Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.281834Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.281720Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.824584Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.824172Z"
     }
    },
    "outputs": [
@@ -869,7 +869,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ad0e0382",
+   "id": "211421b8",
    "metadata": {},
    "source": [
     "Two things to read off. The two (100) terminations carry equal and opposite Au\n",
@@ -890,13 +890,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "126bdc6b",
+   "id": "bd0d8954",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.378408Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.378256Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.383449Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.383099Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.825472Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.825371Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.829854Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.829571Z"
     }
    },
    "outputs": [
@@ -955,7 +955,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "355a098e",
+   "id": "c671ac3c",
    "metadata": {},
    "source": [
     "## The equilibrium crystal shape\n",
@@ -969,13 +969,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "e9f56126",
+   "id": "622856f5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.384533Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.384431Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.437433Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.437029Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.830601Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.830515Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.881740Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.881412Z"
     }
    },
    "outputs": [
@@ -1043,13 +1043,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "1a57a8a2",
+   "id": "0c4de04c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.438571Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.438400Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.443892Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.443441Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.882475Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.882387Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.886954Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.886650Z"
     }
    },
    "outputs": [
@@ -1121,7 +1121,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12fbbe5a",
+   "id": "01c3d3fb",
    "metadata": {},
    "source": [
     "(111) takes **two thirds** of the surface, (100) most of the rest, and (110)\n",
@@ -1141,13 +1141,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "39ae9ac8",
+   "id": "b8eaeee7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.444766Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.444671Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.447036Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.446647Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.887637Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.887552Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.889553Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.889271Z"
     }
    },
    "outputs": [
@@ -1171,13 +1171,13 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "3f7f2676",
+   "id": "9fce1483",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.447851Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.447761Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.542770Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.542336Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.890195Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.890116Z",
+     "iopub.status.idle": "2026-08-05T21:19:37.980964Z",
+     "shell.execute_reply": "2026-08-05T21:19:37.980613Z"
     }
    },
    "outputs": [
@@ -1219,7 +1219,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2e8c9e61",
+   "id": "72535848",
    "metadata": {},
    "source": [
     "## Adsorption\n",
@@ -1232,13 +1232,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "3dfb60d3",
+   "id": "d88cf272",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.543716Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.543614Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.587035Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.586563Z"
+     "iopub.execute_input": "2026-08-05T21:19:37.981930Z",
+     "iopub.status.busy": "2026-08-05T21:19:37.981804Z",
+     "iopub.status.idle": "2026-08-05T21:19:38.022762Z",
+     "shell.execute_reply": "2026-08-05T21:19:38.022390Z"
     }
    },
    "outputs": [
@@ -1308,7 +1308,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6a8b9149",
+   "id": "b82ec337",
    "metadata": {},
    "source": [
     "### Sites are enumerated, not guessed\n",
@@ -1321,13 +1321,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "db9977a9",
+   "id": "6603d161",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.587957Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.587853Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.662392Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.661920Z"
+     "iopub.execute_input": "2026-08-05T21:19:38.023537Z",
+     "iopub.status.busy": "2026-08-05T21:19:38.023442Z",
+     "iopub.status.idle": "2026-08-05T21:19:38.095661Z",
+     "shell.execute_reply": "2026-08-05T21:19:38.095357Z"
     }
    },
    "outputs": [
@@ -1408,13 +1408,13 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "224b8f36",
+   "id": "fad6f44d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.663297Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.663147Z",
-     "iopub.status.idle": "2026-08-05T00:21:05.666390Z",
-     "shell.execute_reply": "2026-08-05T00:21:05.666034Z"
+     "iopub.execute_input": "2026-08-05T21:19:38.096485Z",
+     "iopub.status.busy": "2026-08-05T21:19:38.096395Z",
+     "iopub.status.idle": "2026-08-05T21:19:38.099345Z",
+     "shell.execute_reply": "2026-08-05T21:19:38.099010Z"
     }
    },
    "outputs": [
@@ -1439,7 +1439,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6e80254d",
+   "id": "e8c64e65",
    "metadata": {},
    "source": [
     "On-top, bridge and hollow — the three coordination environments a close-packed\n",
@@ -1449,13 +1449,13 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "4ab77ea4",
+   "id": "4077fb16",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:05.667147Z",
-     "iopub.status.busy": "2026-08-05T00:21:05.667054Z",
-     "iopub.status.idle": "2026-08-05T00:21:06.023571Z",
-     "shell.execute_reply": "2026-08-05T00:21:06.023139Z"
+     "iopub.execute_input": "2026-08-05T21:19:38.100057Z",
+     "iopub.status.busy": "2026-08-05T21:19:38.099947Z",
+     "iopub.status.idle": "2026-08-05T21:19:38.436762Z",
+     "shell.execute_reply": "2026-08-05T21:19:38.436351Z"
     }
    },
    "outputs": [
@@ -1484,7 +1484,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c6fd0b23",
+   "id": "c566e34a",
    "metadata": {},
    "source": [
     "**Hollow is lowest, then bridge, then on-top** — more neighbours, more bonding.\n",
@@ -1501,20 +1501,20 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "b26a66c1",
+   "id": "f4cdc12a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:06.024512Z",
-     "iopub.status.busy": "2026-08-05T00:21:06.024362Z",
-     "iopub.status.idle": "2026-08-05T00:21:06.129912Z",
-     "shell.execute_reply": "2026-08-05T00:21:06.129485Z"
+     "iopub.execute_input": "2026-08-05T21:19:38.437666Z",
+     "iopub.status.busy": "2026-08-05T21:19:38.437572Z",
+     "iopub.status.idle": "2026-08-05T21:19:38.539003Z",
+     "shell.execute_reply": "2026-08-05T21:19:38.538627Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.lines.Line2D at 0x7f4b0a6fa570>"
+       "<matplotlib.lines.Line2D at 0x7f628d3d7a10>"
       ]
      },
      "execution_count": 20,
@@ -1552,7 +1552,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "74407908",
+   "id": "2e32bbe0",
    "metadata": {},
    "source": [
     "About 170 meV between on-top and hollow. That is the size of difference that\n",
@@ -1561,7 +1561,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3fbbbd3c",
+   "id": "88c5d021",
    "metadata": {},
    "source": [
     "```{warning}\n",
@@ -1585,13 +1585,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "bf84f816",
+   "id": "a646962e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-05T00:21:06.130871Z",
-     "iopub.status.busy": "2026-08-05T00:21:06.130772Z",
-     "iopub.status.idle": "2026-08-05T00:21:06.132939Z",
-     "shell.execute_reply": "2026-08-05T00:21:06.132567Z"
+     "iopub.execute_input": "2026-08-05T21:19:38.539819Z",
+     "iopub.status.busy": "2026-08-05T21:19:38.539725Z",
+     "iopub.status.idle": "2026-08-05T21:19:38.541687Z",
+     "shell.execute_reply": "2026-08-05T21:19:38.541380Z"
     }
    },
    "outputs": [
@@ -1615,7 +1615,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a0019aa8",
+   "id": "df5b9b92",
    "metadata": {},
    "source": [
     "```{seealso}\n",
diff --git a/tests/_contract_cases.py b/tests/_contract_cases.py
index 17dea30..6fed218 100644
--- a/tests/_contract_cases.py
+++ b/tests/_contract_cases.py
@@ -211,6 +211,27 @@ def pbsn_alloys():
     return mv.data.from_compositions(["Pb0.261Sn0.739", "Pb0.9Sn0.1"])
 
 
+def stiff():
+    """A dataset carrying a full elastic tensor, for mv.pl.elastic."""
+    md = mv.data.from_compositions(["Cu"])
+    C = np.zeros((6, 6))
+    C[:3, :3] = 121.4
+    np.fill_diagonal(C[:3, :3], 168.4)
+    for i in range(3, 6):
+        C[i, i] = 75.4
+    md.obsm["elastic_tensor_exp"] = C.reshape(1, 36)
+    return md
+
+
+def fermi_computed():
+    """A dataset whose Fermi surface has already been computed and kept."""
+    structure, band_structure = _free_electron_cell()
+    md = mv.data.from_structures([structure])
+    mv.elec.fermi_surface(md, [band_structure], level="model",
+                          interpolation_factor=2.0)
+    return md
+
+
 def symmetric():
     """A dataset carrying obs['spacegroup_number'], for mv.pl.spacegroups."""
     md = mv.datasets.metals(["Cu", "Al"])
@@ -930,6 +951,9 @@ def measured_alloy():
         (mv.gen.from_symmetry, perovskite_candidates, (),
          {"space_groups": [221], "seed": 0, "returns": "new"}),
         (mv.pl.spacegroups, symmetric, (), {}),
+        (mv.pl.elastic, stiff, (), {"level": "exp"}),
+        # Skipped where IFermi is absent, like any optional backend.
+        (mv.pl.fermi_surface, fermi_computed, (), {"level": "model"}),
         (mv.thermo.calphad, pbsn_alloys, (_pbsn_tdb(),),
          {"temperature": 450.0}),
         # Small mesh and a low interpolation factor: the probe checks the
diff --git a/tests/test_electronic.py b/tests/test_electronic.py
index dc26796..cbc0202 100644
--- a/tests/test_electronic.py
+++ b/tests/test_electronic.py
@@ -529,6 +529,51 @@ def test_one_structure_per_row_is_required(self):
         with pytest.raises(ValueError, match="one per row"):
             mv.elec.fermi_surface(md, [bs], level="model")
 
+    def test_the_mesh_is_kept_so_a_plot_need_not_recompute(self):
+        """Fourier interpolation takes minutes. A plotting function that
+        repeated it on every call would not be an interface worth having, so
+        the vertices and faces are stored once."""
+        md = self._area(0.8)
+        meshes = md.uns["fermi_surface"]["model"]["meshes"]
+        assert meshes, "no mesh was kept"
+        sheet = next(iter(meshes.values()))[0]
+        assert np.asarray(sheet["vertices"]).shape[1] == 3
+        assert np.asarray(sheet["faces"]).shape[1] == 3
+        assert sheet["area"] > 0
+
+    def test_keep_mesh_false_stores_nothing(self):
+        """A screen that wants only the numbers should not pay for the mesh."""
+        bs, structure = _free_electron(0.8)
+        md = mv.data.from_structures([structure])
+        mv.elec.fermi_surface(md, [bs], level="model", keep_mesh=False)
+        assert not md.uns["fermi_surface"]["model"]["meshes"]
+        assert np.isfinite(md.obs["fermi_surface_area_model"].iloc[0])
+
+    def test_it_draws_the_stored_sheets(self):
+        pytest.importorskip("matplotlib")
+        import matplotlib
+        matplotlib.use("Agg")
+        md = self._area(0.8)
+        ax = mv.pl.fermi_surface(md, level="model")
+        assert ax._matverse_n_sheets == int(
+            md.obs["fermi_sheets_model"].iloc[0])
+
+    def test_plotting_without_a_mesh_says_which_flag_removed_it(self):
+        pytest.importorskip("matplotlib")
+        import matplotlib
+        matplotlib.use("Agg")
+        bs, structure = _free_electron(0.8)
+        md = mv.data.from_structures([structure])
+        mv.elec.fermi_surface(md, [bs], level="model", keep_mesh=False)
+        with pytest.raises(ValueError, match="keep_mesh=False"):
+            mv.pl.fermi_surface(md, level="model")
+
+    def test_plotting_before_computing_names_the_missing_step(self):
+        pytest.importorskip("matplotlib")
+        md = mv.data.from_compositions(["Na"])
+        with pytest.raises(ValueError, match="mv.elec.fermi_surface"):
+            mv.pl.fermi_surface(md, level="model")
+
     def test_it_records_what_it_did(self):
         md = self._area(0.8, interpolation_factor=4.0)
         recorded = md.uns["fermi_surface"]["model"]
diff --git a/tests/test_optics_and_tensors.py b/tests/test_optics_and_tensors.py
index 19731bf..3592867 100644
--- a/tests/test_optics_and_tensors.py
+++ b/tests/test_optics_and_tensors.py
@@ -572,3 +572,136 @@ def test_the_level_records_where_the_tensors_came_from(self):
         mv.prop.piezo_from_dfpt(md, bec, ist, fcm, level="mydfpt")
         assert "mydfpt" in mv.levels_used(md)
         assert "DFPT" in md.uns["levels"]["mydfpt"]["note"]
+
+
+def _has_matplotlib() -> bool:
+    import importlib.util
+    return importlib.util.find_spec("matplotlib") is not None
+
+
+def _cubic_stiffness(c11: float, c12: float, c44: float) -> np.ndarray:
+    """A 6x6 cubic stiffness matrix, flattened the way mv.prop.elastic stores it."""
+    C = np.zeros((6, 6))
+    C[:3, :3] = c12
+    np.fill_diagonal(C[:3, :3], c11)
+    for i in range(3, 6):
+        C[i, i] = c44
+    return C
+
+
+def _isotropic_stiffness(youngs: float, poisson: float) -> np.ndarray:
+    c11 = youngs * (1 - poisson) / ((1 + poisson) * (1 - 2 * poisson))
+    c12 = youngs * poisson / ((1 + poisson) * (1 - 2 * poisson))
+    return _cubic_stiffness(c11, c12, (c11 - c12) / 2)
+
+
+@pytest.mark.skipif(not _has_matplotlib(), reason="needs matplotlib")
+class TestElasticAnisotropy:
+    """What the full tensor says that its isotropic averages do not.
+
+    Checked against copper, whose measured constants give a Young's modulus
+    that varies by nearly a factor of three with direction — a fact that four
+    Voigt-Reuss-Hill averages cannot carry.
+    """
+
+    @staticmethod
+    def _object(matrix, name="x"):
+        md = mv.data.from_compositions(["Cu"])
+        md.obs_names = [name]
+        md.obsm["elastic_tensor_exp"] = matrix.reshape(1, 36)
+        return md
+
+    def test_an_isotropic_solid_is_a_circle(self):
+        """Anisotropy is one by construction, and every direction gives back
+        the Young's modulus that was put in."""
+        import matplotlib
+        matplotlib.use("Agg")
+        md = self._object(_isotropic_stiffness(100.0, 0.3))
+        ax = mv.pl.elastic(md, level="exp")
+        assert ax._matverse_anisotropy == pytest.approx(1.0, abs=1e-9)
+        low, high = ax._matverse_extremes
+        assert low == pytest.approx(100.0, rel=1e-6)
+        assert high == pytest.approx(100.0, rel=1e-6)
+
+    def test_copper_reproduces_the_measured_directional_moduli(self):
+        """C11=168.4, C12=121.4, C44=75.4 GPa give 66.7 along [100] and 191.1
+        along [111]. Those are the numbers to hit; the isotropic average is a
+        single value near 120 and carries neither."""
+        import matplotlib
+        matplotlib.use("Agg")
+        from matverse.pl import _compliance_tensor, _youngs_along
+
+        compliance = _compliance_tensor(_cubic_stiffness(168.4, 121.4, 75.4))
+        along = lambda d: float(_youngs_along(compliance, np.array(d, float)))
+        assert along([1, 0, 0]) == pytest.approx(66.7, rel=0.01)
+        assert along([1, 1, 0]) == pytest.approx(130.3, rel=0.01)
+        assert along([1, 1, 1]) == pytest.approx(191.1, rel=0.01)
+
+        md = self._object(_cubic_stiffness(168.4, 121.4, 75.4), name="Cu")
+        assert mv.pl.elastic(md, level="exp")._matverse_anisotropy == \
+            pytest.approx(2.87, rel=0.02)
+
+    def test_the_voigt_factors_are_not_optional(self):
+        """A compliance matrix carries a half on every shear index where a
+        stiffness matrix carries none. Expanding the inverse without them
+        gives a tensor that looks plausible and reports an anisotropy that is
+        not there — an isotropic solid stops being a circle."""
+        from matverse.pl import _VOIGT_PAIRS, _youngs_along
+
+        stiffness = _isotropic_stiffness(100.0, 0.3)
+        compact = np.linalg.inv(stiffness)
+        naive = np.zeros((3, 3, 3, 3))
+        for a, (i, j) in enumerate(_VOIGT_PAIRS):
+            for b, (k, l) in enumerate(_VOIGT_PAIRS):
+                for p, q in {(i, j), (j, i)}:
+                    for r, s in {(k, l), (l, k)}:
+                        naive[p, q, r, s] = compact[a, b]   # no factors
+        directions = np.array([[1, 0, 0], [1, 1, 1]], dtype=float)
+        wrong = _youngs_along(naive, directions)
+        assert abs(wrong[0] - wrong[1]) > 1.0, (
+            "without the Voigt factors an isotropic solid should look "
+            "anisotropic; if this passes, the test is not testing anything")
+
+    def test_it_names_the_missing_step(self):
+        md = mv.data.from_compositions(["Cu"])
+        with pytest.raises(ValueError, match="mv.prop.elastic"):
+            mv.pl.elastic(md, level="exp")
+
+    def test_a_failed_row_is_refused_rather_than_plotted(self):
+        """mv.prop.elastic records a row it could not compute as NaN, and a
+        polar plot of NaN is an empty circle that looks like a result."""
+        import matplotlib
+        matplotlib.use("Agg")
+        md = self._object(np.full((6, 6), np.nan))
+        with pytest.raises(ValueError, match="not finite"):
+            mv.pl.elastic(md, level="exp")
+
+    def test_a_row_resolves_by_the_name_column_not_only_the_index(self):
+        """A matverse dataset puts the formula in obs['name'] and leaves
+        obs_names as integers. Looking only at obs_names sent 'Cu' to int()
+        and failed with a message about base 10.
+
+        The unit tests missed it because they named their own rows; executing
+        the tutorial found it on the first run. Both kinds of check earn their
+        place, and this is the one that would have."""
+        import matplotlib
+        matplotlib.use("Agg")
+        md = self._object(_cubic_stiffness(168.4, 121.4, 75.4), name="0")
+        md.obs["name"] = ["Cu"]
+        assert mv.pl.elastic(md, level="exp", row="Cu") is not None
+
+    def test_an_unknown_row_says_what_the_object_has(self):
+        import matplotlib
+        matplotlib.use("Agg")
+        md = self._object(_cubic_stiffness(168.4, 121.4, 75.4), name="0")
+        md.obs["name"] = ["Cu"]
+        with pytest.raises(ValueError, match="no row"):
+            mv.pl.elastic(md, level="exp", row="Xx")
+
+    def test_a_row_can_be_named_or_indexed(self):
+        import matplotlib
+        matplotlib.use("Agg")
+        md = self._object(_cubic_stiffness(168.4, 121.4, 75.4), name="Cu")
+        assert mv.pl.elastic(md, level="exp", row="Cu")._matverse_anisotropy \
+            == pytest.approx(
+                mv.pl.elastic(md, level="exp", row=0)._matverse_anisotropy)