Author

Kun Cao

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Preprint Jul 2026

STEP: Spin Tensor Equivariant Potential for Data-Efficient Learning of Magnetic Potential Energy Surfaces

The Spin Tensor Equivariant Potential (STEP), a magnetic machine-learning interatomic potential that treats vector magnetic moments as continuous geometric degrees of freedom and embeds them in an equivariant representation, is introduced.

Yuanqing Gao, Wen-Hao Luo, Lei Zhang et al. · 0 citations