Han Wang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 17

Top Topics

Highly Accurate

Machine Learning

Molecular Dynamics

Top Venues

Comput. Phys. Commun.

Nat. Comput. Sci.

Publications

Xinzijian Liu, Yanbo Han, Zhuoyuan Li, Jiahao Fan, Chengqian Zhang, Jinzhe Zeng, Yifan Shan, Yannan Yuan, Wei-Hong Xu, Yun-Pei Liu, Yuzhi Zhang, Tongqi Wen, Darrin M. York, Zhicheng Zhong, Hang Zheng, Jun Cheng, Linfeng Zhang, Han Wang
Dflow, a Python framework for constructing cloud-native AI-for-Science workflows. CoRR (2024)
Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models. Comput. Phys. Commun. 282 (2023)
Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia
accuracy to 10 billion atoms. PPoPP (2022)
Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. CoRR (2022)
Dongdong Wang, Yanze Wang, Junhan Chang, Linfeng Zhang, Han Wang, Weinan E
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. Nat. Comput. Sci. 2 (1) (2022)
Denghui Lu, Han Wang, Mohan Chen, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
accuracy. Comput. Phys. Commun. 259 (2021)
Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory. CoRR (2020)
Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models. Comput. Phys. Commun. 253 (2020)
Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. CoRR (2020)
Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang
accuracy to 100 million atoms with machine learning. SC (2020)
Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. Comput. Phys. Commun. 228 (2018)
Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation. CoRR (2018)
Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems. NeurIPS (2018)
Linfeng Zhang, Han Wang, Weinan E
Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology. CoRR (2017)
Xingyu Gao, Zeyao Mo, Jun Fang, Haifeng Song, Han Wang
Parallel 3-dim fast Fourier transforms with load balancing of the plane waves. Comput. Phys. Commun. 211 (2017)
Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics. CoRR (2017)
Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. CoRR (2017)
Han Wang, Huazhong Tang
An efficient adaptive mesh redistribution method for a non-linear Dirac equation. J. Comput. Phys. 222 (1) (2007)