2 papers
cond-mat.mtrl-sci2024
Machine-learning potential for phonon transport in AlN with defects in multiple charge states
Ying Dou, Koji Shimizu, Jesús Carrete +2
Understanding phonon transport properties in defect-laden AlN is important for their device applications. Here, we construct a machine-learning potential to describe phonon transpo…
cond-mat.mtrl-sci2022
Using neural network potential to study point defect properties in multiple charge states of GaN with nitrogen vacancy
Koji Shimizu, Ying Dou, Elvis F. Arguelles +3
Investigation of charged defects is necessary to understand the properties of semiconductors. While density functional theory calculations can accurately describe the relevant phys…