AINeutralarXiv – CS AI · 7h ago6/10
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Physics-informed generative AI for semiconductor manufacturing: Enforcing hard physical constraints in generative models by construction
Researchers propose physics-informed generative AI architectures that enforce hard physical constraints by construction rather than post-hoc filtering, using semiconductor manufacturing as a test case. The work surveys emerging techniques including physics-informed diffusion models, PDE-constrained variational approaches, and conservation-law-respecting networks to ensure generated designs, data, and processes are physically valid rather than merely plausible.