Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields

Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela

Reconstructing force fields (FFs) from atomistic simulation data is a challenge since accurate data can be highly expensive. Here, machine learning (ML) models can help to be data…