An Accurate and Transferable Machine Learning Potential for Carbon

Patrick Rowe, Volker L Deringer, Piero Gasparotto +2

We present an accurate machine learning (ML) model for atomistic simulations of carbon, constructed using the Gaussian approximation potential (GAP) methodology. The potential, nam…