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