Machine-Learning Interatomic Potentials for Materials Science
Machine-Learning Interatomic Potentials for Materials Science
Y. Mishin
2021 · DOI: 10.1016/j.actamat.2021.116980
Social Science Research Network · 280 Citations
TLDR
The current status of the interatomic potential field is reviewed, comparing the strengths and weaknesses of the traditional and ML potentials and a third class of potentials is introduced, in which an ML model is coupled with a physics-based potential to improve the transferability to unknown atomic environments.
