sGDML: Constructing Accurate and Data Efficient Molecular Force Fields Using Machine Learning

Stefan Chmiela, Huziel E. Sauceda, Igor Poltavsky +2

We present an optimized implementation of the recently proposed symmetric gradient domain machine learning (sGDML) model. The sGDML model is able to faithfully reproduce global pot…