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Preprint Aug 2026

Cartesian tensor equivariant machine-learning force field for spin-dependent atomistic simulations

HotPP-Spin is introduced, a spin-dependent extension of HotPP for magnetic machine learning interatomic potentials, built on Cartesian tensor equivariant message passing, establishing Cartesian tensor message passing as a general route for connecting first-principles magnetic energetics with large-scale atomistic simul...

Jun-Jie Wang, Yi-Jie Zhu, Zhong-Wei Zhang et al. · 0 citations

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