Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems
DGX agentarXiv: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 syst