Han Wang - RankMe

27 papers A* 1A 1B 1Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling Machine Learning Interatomic Potentials with Mixtures of Experts. CoRR Yuzhi Liu, Duo Zhang, Anyang Peng, Weinan E, Linfeng Zhang, Han Wang
2025	J	`jnl`	DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science. J. Chem. Inf. Model. Fengbo Yuan, Zhaohan Ding, Yun-Pei Liu, Kai Cao, Jiahao Fan, Cao Thang Nguyen, Yuzhi Zhang, Haidi Wang, Yixiao Chen, Jiameng Huang, Tongqi Wen, Mingkang Liu, Yifan Li, Yong-Bin Zhuang, Hao Yu, Ping Tuo, Yaotang Zhang, Yibo Wang, Linfeng Zhang, Han Wang, Jinzhe Zeng
2025	J	`jnl`	DeePMD-GNN: A DeePMD-kit Plugin for External Graph Neural Network Potentials. J. Chem. Inf. Model. Jinzhe Zeng, Timothy J. Giese, Duo Zhang, Han Wang, Darrin M. York
2025	J	`jnl`	The OpenLAM Challenges. CoRR Anyang Peng, Xinzijian Liu, Ming-Yu Guo, Linfeng Zhang, Han Wang
2025	J	`jnl`	The OpenLAM Challenges: LAM Crystal Philately competition. Mach. Learn. Sci. Technol. Anyang Peng, Xinzijian Liu, Ming-Yu Guo, Linfeng Zhang, Han Wang
2025	J	`jnl`	dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets. J. Chem. Inf. Model. Jinzhe Zeng, Xingliang Peng, Yong-Bin Zhuang, Haidi Wang, Fengbo Yuan, Duo Zhang, Renxi Liu, Yingze Wang, Ping Tuo, Yuzhi Zhang, Yixiao Chen, Yifan Li, Cao Thang Nguyen, Jiameng Huang, Anyang Peng, Marián Rynik, Wei-Hong Xu, Zezhong Zhang, Xu-Yuan Zhou, Tao Chen, Jiahao Fan, Wanrun Jiang, Bowen Li, Denan Li, Haoxi Li, Wenshuo Liang, Ruihao Liao, Liping Liu, Chenxing Luo, Logan Ward, Kaiwei Wan, Junjie Wang, Pan Xiang, Chengqian Zhang, Jinchao Zhang, Rui Zhou, Jia-Xin Zhu, Linfeng Zhang, Han Wang
2024	J	`jnl`	Dflow, a Python framework for constructing cloud-native AI-for-Science workflows. CoRR 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
2023	J	`jnl`	DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models. Comput. Phys. Commun. Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
2022	J	`jnl`	A deep variational free energy approach to dense hydrogen. CoRR Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang
2022	J	`jnl`	DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation. CoRR Duo Zhang, Hangrui Bi, Fu-Zhi Dai, Wanrun Jiang, Linfeng Zhang, Han Wang
2022	J	`jnl`	DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials. CoRR Wenfei Li, Qi Ou, Yixiao Chen, Yu Cao, Renxi Liu, Chunyi Zhang, Daye Zheng, Chun Cai, Xifan Wu, Han Wang, Mohan Chen, Linfeng Zhang
2022	J	`jnl`	Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. Nat. Comput. Sci. Dongdong Wang, Yanze Wang, Junhan Chang, Linfeng Zhang, Han Wang, Weinan E
2022	B	`conf`	Extending the limit of molecular dynamics with PPoPP 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
2022	J	`jnl`	Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. CoRR 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
2021	J	`jnl`	86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with Comput. Phys. Commun. Denghui Lu, Han Wang, Mohan Chen, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
2020	J	`jnl`	86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. CoRR Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
2020	J	`jnl`	DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models. Comput. Phys. Commun. Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E
2020	J	`jnl`	DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory. CoRR Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
2020	A	`conf`	Pushing the limit of molecular dynamics with SC Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang
2018	J	`jnl`	Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation. CoRR Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E
2018	J	`jnl`	DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. Comput. Phys. Commun. Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
2018	A*	`conf`	End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems. NeurIPS Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E
2017	J	`jnl`	DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. CoRR Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
2017	J	`jnl`	Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics. CoRR Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
2017	J	`jnl`	Parallel 3-dim fast Fourier transforms with load balancing of the plane waves. Comput. Phys. Commun. Xingyu Gao, Zeyao Mo, Jun Fang, Haifeng Song, Han Wang
2017	J	`jnl`	Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology. CoRR Linfeng Zhang, Han Wang, Weinan E
2007	J	`jnl`	An efficient adaptive mesh redistribution method for a non-linear Dirac equation. J. Comput. Phys. Han Wang, Huazhong Tang