LANL diffusion model predicts electroplating morphology

This is a strong example of diffusion models moving beyond image generation into scientific surrogate modeling. The interesting part is less the electroplating domain itself than the fact that a small experimental dataset was enough to learn a usable process-to-morphology mapping.

• –The pipeline combines a VAE compressor with a diffusion model, which is a practical way to handle high-resolution microscopy data.
• –Training on 57 rhenium samples keeps this firmly in proof-of-principle territory, not production-ready process control.
• –If it generalizes, the approach could reduce trial-and-error in electrodeposition, electropolishing, and other surface engineering workflows.
• –The model’s value is partly diagnostic: it can surface which process variables matter most for roughness and crack formation.