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Phase 5: AI/ML in SemiconductorsSubject 15
Virtual Metrology & Process Control
Learn how ML models predict wafer measurements from equipment sensor data, enabling 100% wafer coverage and real-time process control without physical metrology delays.
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0 of 5 chapters completeChapters
1
What is Virtual Metrology?
Predicting metrology from sensor data — why it matters for cost, speed, and 100% coverage
4 sections
2
VM Model Building
Feature engineering from sensor traces, regression models, and rigorous validation for fab-grade predictions
4 sections
3
Deploying VM in Production
Handling model drift, building adaptive models, and estimating confidence for every prediction
3 sections
4
ML-Enhanced Run-to-Run Control
Augmenting traditional R2R control with machine learning for tighter process windows
3 sections
5
Adaptive Recipe Optimization
Bayesian optimization, DoE + ML, and multi-objective tuning for semiconductor recipes
3 sections