Nanofabrication stops returning one shape: a conditional diffusion model learns the whole spread of possible outcomes
Focused ion beam milling variance is no longer predicted as a single deterministic result: a conditional diffusion model learns the statistical distribution of process outcomes given the input design, yielding distributional predictions of edge morphology, linewidth variation, and defect probability.