3 papers
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…
cond-mat.mes-hall2026
Spin angular momentum transfer in the Einstein-de Haas effect
Xin Nie, Wenhao Luo, Kun Cao +1
We investigate spin angular momentum transfer in the Einstein-de Haas effect within prototypical magnetic crystals, focusing on its partition between phonons and rigid-body rotatio…
cond-mat.mtrl-sci2024
Exploring the energy landscape of aluminas through machine learning interatomic potential
Lei Zhang, Wenhao Luo, Renxi Liu +3
Aluminum oxide (alumina, AlO) exists in various structures and has broad industrial applications. While the crystal structure of -AlO is well-established, those…