Sim-to-real diffusion models for microstructure prediction in metal additive manufacturing

Abstract Metal additive manufacturing is an efficient technique for producing metallic components with high flexibility. Understanding the mechanical properties of printed parts requires detailed analysis of their microstructures. While experiments are reliable for capturing as-printed microstructures, they are often costly and time-consuming. Alternatively, numerical simulations have become valuable tools to reduce the reliance on trial-and-error experimentation, powered by recent advances in h