Machine-learning force-field models for dynamical simulations of metallic magnets

arXiv:2602.18213v1 Announce Type: cross Abstract: We review recent advances in machine learning (ML) force-field methods for Landau-Lifshitz-Gilbert (LLG) simulations of itinerant electron magnets, focusing on scalability and transferability. Built on the principle of locality...

🔗 Read more: https://arxiv.org/abs/2602.18213

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