Extensive study on the α-Fe grain boundaries using molecular dynamics simulations using a deep learning potential
Grain boundaries (GBs) critically influence the mechanical properties of polycrystalline metallic materials, yet systematic atomic-level understanding of GB structures and deformation mechanisms in α-Fe remains limited. In this study, we employ deep learning-based molecular dynamics simulations to investigate the atomi...