12 citations · 15 across the 4 of their papers we have counts for
4 papers
Cartesian tensor equivariant machine-learning force field for spin-dependent atomistic simulations
Junjie Wang, Yijie Zhu, Zhongwei Zhang +5
Magnetic materials exhibit an intricate coupling between atomic structure and spin degrees of freedom, posing a fundamental challenge for atomistic simulations across experimentall…
GPU-MetaD: Full-Life-Cycle GPU Accelerated Metadynamics with Machine Learning Potentials
Haoting Zhang, Qiuhan Jia, Zhennan Zhang +6
Large-scale molecular dynamics simulations with high accuracy have been increasingly popular for their capability to bridge the gap between atomistic modeling and mesoscale phenome…
Superconductivity up to 14.2 K in MnB under pressure
Zhe-Ning Xiang, Ying-Jie Zhang, Qing Lu +7
The discovery of superconductivity in 3-transition metal compounds with strong magnetism is interesting but rare. Especially for Mn-based compounds, there exist only very limite…
Record high superconducting transition temperature in TiMn alloy with rich magnetic element Mn
Ying-Jie Zhang, Yijie Zhu, Qing Li +4
It is well-known that magnetic moments are very harmful to superconductivity. A typical example is the element Mn whose compounds usually exhibit strong magnetism. Thus, it is very…