Understanding and design of metallic alloys guided by phase-field simulations

Abstract Phase-field method (PFM) has become a mainstream computational for predicting the evolution of nano and mesoscopic microstructures properties during materials processes. The paper briefly reviews latest progresses in applying PFM to understanding thermodynamic driving forces mechanisms underlying microstructure metallic related processes, including casting, aging, deformation, additive manufacturing, defects, etc. Focus on designing alloys by integrating with constitutive relations machine learning. Several examples are presented demonstrate potential integrated discovering new multi-scale phenomena high-performance alloys. article ends prospects promising research directions.