Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems
arXiv:2604.11513v1 Announce Type: cross
Abstract: We review recent advances in machine-learning (ML) force-field methods for large-scale Landau-Lifshitz-Gilbert (LLG) simulations of metallic spin systems. We generalize the Behler-Parrinello (BP) ML ar…