Physics-informed generative AI for semiconductor manufacturing: Enforcing hard physical constraints in generative models by construction

In three linesPerspective paper on integrating hard physical constraints into generative models for semiconductor manufacturing. Argues generative AI must be physics-informed by construction rather than corrected post-hoc. Surveys physics-informed diffusion, PDE-constrained variational models, neural-operator priors, and conservation-law-respecting networks.

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