Importance of Configurational Charge Ordering for Machine Learning Interatomic Potentials

Martin Hoffmann Petersen, Steen Lysgaard, Arghya Bhowmik +2

Machine learning interatomic potentials (MLIPs) enable large-scale atomistic simulations but remain challenged in describing mixed-valence materials where charge ordering strongly…