Peering inside the black box: Learning the relevance of many-body functions in Neural Network potentials

Klara Bonneau, Jonas Lederer, Clark Templeton +3

Machine learned potentials are becoming a popular tool to define an effective energy model for complex systems, either incorporating electronic structure effects at the atomistic r…