Pinghui Mo

DeePMD-kit v2: A software package for deep potential models

Jinzhe Zeng, Duo Zhang, Denghui Lu et al. · The Journal of Chemical Physics · 2023 · 453 citations · Full text

Engineering, Machine Learning, Molecular Biology +21

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

Jinzhe Zeng, Duo Zhang, Anyang Peng et al. · Journal of Chemical Theory and Computation · 2025 · 45 citations · Full text

Accurate and efficient molecular dynamics based on machine learning and non von Neumann architecture

Pinghui Mo, Chang Li, Dan Zhao et al. · npj Computational Materials · 2022 · 43 citations · Full text

Electrical-field-induced magnetic Skyrmion ground state in a two-dimensional chromium tri-iodide ferromagnetic monolayer

Jie Liu, Mengchao Shi, Pinghui Mo et al. · AIP Advances · 2018 · 30 citations · Full text

Magnetism, Ferromagnetism, Spintronics +14

Deep Neural Network for Accurate and Efficient Atomistic Modeling of Phase Change Memory

Mengchao Shi, Pinghui Mo, Jie Liu · IEEE Electron Device Letters · 2020 · 25 citations

Engineering, Material Simulation, Simulation +17