Han Wang

According to our database, Han Wang authored at least 15 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models.

Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E

Comput. Phys. Commun., 2023

2022

Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms.

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

CoRR, 2022

Extending the limit of molecular dynamics with <i>ab initio</i> accuracy to 10 billion atoms.

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

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

2021

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with <i>ab initio</i> accuracy.

Denghui Lu, Han Wang, Mohan Chen, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang

Comput. Phys. Commun., 2021

2020

DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models.

Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E

Comput. Phys. Commun., 2020

DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory.

Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E

CoRR, 2020

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy.

Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang

CoRR, 2020

Pushing the limit of molecular dynamics with <i>ab initio</i> accuracy to 100 million atoms with machine learning.

Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang

Proceedings of the International Conference for High Performance Computing, 2020

2018

DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics.

Han Wang, Linfeng Zhang, Jiequn Han, Weinan E

Comput. Phys. Commun., 2018

Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation.

Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E

CoRR, 2018

End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems.

Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Parallel 3-dim fast Fourier transforms with load balancing of the plane waves.

Xingyu Gao, Zeyao Mo, Jun Fang, Haifeng Song, Han Wang

Comput. Phys. Commun., 2017

Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology.

Linfeng Zhang, Han Wang, Weinan E

CoRR, 2017

Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics.

Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E

CoRR, 2017

2007

An efficient adaptive mesh redistribution method for a non-linear Dirac equation.

Han Wang, Huazhong Tang

J. Comput. Phys., 2007