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20242026
most citedExploring the energy landscape of aluminas through machine learning interatomic potential

7 citations · 8 across the 3 of their papers we have counts for

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cond-mat.mtrl-sci2026

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

Yuanqing Gao, Wen-Hao Luo, Lei Zhang +1

Accurate and efficient modeling of magnetic potential energy surfaces remains challenging because spin-polarized first-principles calculations for diverse non-collinear spin-lattic…