Machine-learning molecular simulation for accurately predicting lattice defect properties
氏名:横井達矢
所属:名古屋大学
概要:First-principles calculations were performed to obtain a large amount of training datasets for lattice defects in Si, with the goal of constructing general-purpose machine-learning potentials and molecular simulations transferable to various lattice defects.
Posted : 2025年03月31日