First Open-Source Industry-Specific Model for Semiconductors
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Updated
Mar 18, 2026 - Python
First Open-Source Industry-Specific Model for Semiconductors
We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.
Lithography defect prediction for microchip manufacturing optimization with machine learning model
Practical example from the SPIE short course "Data Analytics and Machine Learning in Semiconductor Manufacturing: Applications for Physical Design, Process and Yield Optimization"
Data-Driven Optimization of Semiconductor Processes and Forecasting
MEMS patent
WaferDetect is an AI-powered wafer-map defect intelligence platform for semiconductor fabs that segments failure patterns in silicon wafers with AI, diagnoses their root causes and possible errors in the manufacturing process, and quantifies the wafer map die yield loss in dollars.
Mask-aware wafer defect classification using a DenseNet-based CNN with explicit geometry masking and Grad-CAM explainability.
Czochralski Apparatus for Modeling Efficient Lattice growth
klayout square array of auto-labeled alignment marks
Semiconductor Process Control (ECE6455-A) @ Georgia Institute of Technology, Atlanta, GA, USA
This repository contains Silvaco simulation code and Python code for easy data analysis. Do not forget to install the required Python modules in your system.
High-fidelity process simulation dashboard built in Python. Features include Deal-Grove thermal oxidation (calibrated to BYU standards), Gaussian ion implantation profiling, and selective etch rate modeling with real-time cross-sectional visualization.
# Casimir Ultra-Smooth Fabrication Platform (Research)
Micron AI Challenge 2025
SPC, anomaly detection, and leakage-aware yield-risk modeling on public UCI SECOM semiconductor data.
A Minecraft mod adding realistic semiconductor manufacturing.
CMPO, a CMP process ontology (SOSA/SSN, QUDT), and ModPipe, a pipeline turning PHM 2016 CMP process data into a SHACL-validated knowledge graph, artifact for the SemIIM 2026 paper "From Silos to Semantics"
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