Wanrun Jiang

DPA-2: a large atomic model as a multi-task learner

Duo Zhang, Xinzijian Liu, Xiangyu Zhang et al. · npj Computational Materials · 2024 · 121 citations · Full text

Natural Sciences, Chemistry, Materials Science +17

Engineering a red emission of copper nanocluster self-assembly architectures by employing aromatic thiols as capping ligands

Lin Ai, Wanrun Jiang, Zhaoyu Liu et al. · Nanoscale · 2017 · 104 citations

Natural Sciences, Materials Engineering, Materials Science +12

Pretraining of attention-based deep learning potential model for molecular simulation

Duo Zhang, Hangrui Bi, Fu‐Zhi Dai et al. · npj Computational Materials · 2024 · 96 citations · Full text

Natural Sciences, Chemistry, Physics +17

DP Compress: A Model Compression Scheme for Generating Efficient Deep Potential Models

Denghui Lu, Wanrun Jiang, Yixiao Chen et al. · Journal of Chemical Theory and Computation · 2022 · 95 citations

Natural Sciences, Chemistry, Physics +17

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 · 70 citations · Full text

Natural Sciences, Materials Science, Physics +12