Machine-learning molecular simulation for accurately predicting lattice defect properties

 

Authors:Tatsuya Yokoi

Affiliation:Nagoya University

Abstract: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 : March 31,2025