An Ontology for Machine Learning Interatomic Potentials

Daniel Hernández, Jong Hyun Jung, Yuji Ikeda +11

Machine learning interatomic potentials (MLIPs) approximate quantum-mechanical energies and forces---conventionally computed by density functional theory (DFT) or wave-function met…