An-Qi Qiu

A Review of Atomistic Machine Learning for Grain Boundaries in Advanced Manufacturing: From Metastable Structures to Processing–Structure–Property Design

Grain boundaries are central to the performance of polycrystalline materials, yet their structures and properties become especially difficult to predict in advanced manufacturing, where rapid thermal cycling, steep gradients, severe deformation, and chemical complexity drive interfaces far from equilibrium. Machine l...