Synthetic data enable experiments in atomistic machine learning

John L. A. Gardner, Zoé Faure Beaulieu, Volker L. Deringer

Machine-learning models are increasingly used to predict properties of atoms in chemical systems. There have been major advances in developing descriptors and regression frameworks…