Why Machine Learning is Critical in EUV OPC
EUV lithography introduces stochastic effects that are
difficult to model using classical physics alone.
Challenges in EUV
- Photon shot noise
- Resist stochastic variability
- Random defect formation
These effects are statistical, not deterministic.
Role of ML
- Learn stochastic distributions
- Predict defect probability
- Guide OPC to minimize failure risk
Why Physics Alone Is Not Enough
Traditional OPC assumes deterministic imaging,
which breaks down in EUV regimes.
Key Takeaway
ML is essential to manage EUV stochasticity.
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