E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Abstract

An E(3)-equivariant deep learning interatomic potential is introduced for accelerating molecular dynamics simulations. The method obtains state-of-the-art accuracy, can faithfully describe dynamics of complex systems with remarkable sample efficiency.