526 citations · 1k across the 4 of their papers we have counts for
4 papers
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
Zheyong Fan, Yanzhou Wang, Penghua Ying +17
We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2…
Giant magnetic in-plane anisotropy and competing instabilities in Na3Co2SbO6
Xintong Li, Yuchen Gu, Yue Chen +12
We report magnetometry data obtained on twin-free single crystals of Na3Co2SbO6, which is considered a candidate material for realizing the Kitaev honeycomb model for quantum spin…
Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport
Zheyong Fan, Zezhu Zeng, Cunzhi Zhang +4
We develop a neuroevolution-potential (NEP) framework for generating neural network based machine-learning potentials. They are trained using an evolutionary strategy for performin…
Negative linear compressibility and unusual dynamic behaviors of NaB3
Xin-Ling He, Shu-Ning Pan, Yue Chen +7
First-principles calculations reveal that sodium boride (NaB3) undergoes a phase transition from a tetragonal P4/mbm phase to an orthorhombic Pbam phase at about 16 GPa, accompanie…