Accurate Interatomic Force Fields via Machine Learning with Covariant Kernels

Aldo Glielmo, Peter Sollich, Alessandro De Vita

We present a novel scheme to accurately predict atomic forces as vector quantities, rather than sets of scalar components, by Gaussian Process (GP) Regression. This is based on mat…