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ORCIDLinfeng Zhang 0002
Person information
- affiliation: DP Technology, Beijing, China
- affiliation: AI for Science Institute, Beijing, China
- affiliation: Princeton University, USA
Other persons with the same name
- Linfeng Zhang — disambiguation page
- Linfeng Zhang 0001
![[0000-0002-3341-183X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3341-183X")
— Shanghai Jiao Tong University, China - Linfeng Zhang 0003 — Iowa State University, Ames, IA, USA
- Linfeng Zhang 0004 — Ohio State University, OH, USA
- Linfeng Zhang 0005 — Zhejiang University of Water Resources and Electric Power, China
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2020 – today
- 2025
[i31]Anyang Peng, Xinzijian Liu, Ming-Yu Guo, Linfeng Zhang, Han Wang:
The OpenLAM Challenges. CoRR abs/2501.16358 (2025)- [i30]Yingying Sun, Jun A, Zhiwei Liu, Rui Sun, Liujia Qian, Samuel H. Payne, Wout Bittremieux, Markus Ralser, Chen Li, Yi Chen, Zhen Dong, Yasset Pérez-Riverol, Asif Khan, Chris Sander, Ruedi Aebersold, Juan Antonio Vizcaíno, Jonathan R. Krieger, Jianhua Yao, Han Wen, Linfeng Zhang, Yunping Zhu, Yue Xuan, Benjamin Boyang Sun, Liang Qiao, Henning Hermjakob, Haixu Tang, Huanhuan Gao, Yamin Deng, Qing Zhong, Cheng Chang, Nuno Bandeira, Ming Li, Weinan E, Siqi Sun, Yuedong Yang, Gilbert S. Omenn, Yue Zhang, Ping Xu, Yan Fu, Xiaowen Liu, Christopher M. Overall, Yu Wang, Eric W. Deutsch, Luonan Chen, Jürgen Cox, Vadim Demichev, Fuchu He, Jiaxing Huang, Huilin Jin, Chao Liu, Nan Li, Zhongzhi Luan, Jiangning Song, Kaicheng Yu, Wanggen Wan, Tai Wang, Kang Zhang, Le Zhang, Peter A. Bell, Matthias Mann, Bing Zhang, Tiannan Guo:
Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence. CoRR abs/2502.15867 (2025) - [i29]Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu, Zhifeng Gao, Linfeng Zhang, Guolin Ke:
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling. CoRR abs/2503.10489 (2025) - [i28]Shuqi Lu, Haowei Lin, Lin Yao, Zhifeng Gao, Xiaohong Ji, Weinan E, Linfeng Zhang, Guolin Ke:
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens. CoRR abs/2503.16278 (2025) - 2024
- [c5]Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E:
Exploring Molecular Pretraining Model at Scale. NeurIPS 2024 - [i27]Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Yuqi Yin, Yaqi Li, Linfeng Zhang, Guolin Ke:
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. CoRR abs/2403.01976 (2024) - [i26]Hengxing Cai, Xiaochen Cai, Shuwen Yang, Jiankun Wang, Lin Yao, Zhifeng Gao, Junhan Chang, Sihang Li, Mingjun Xu, Changxin Wang, Hongshuai Wang, Yongge Li, Mujie Lin, Yaqi Li, Yuqi Yin, Linfeng Zhang, Guolin Ke:
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer. CoRR abs/2403.10301 (2024) - [i25]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 abs/2404.18392 (2024) - [i24]Eric Alcaide, Zhifeng Gao, Guolin Ke, Yaqi Li, Linfeng Zhang, Hang Zheng, Gengmo Zhou:
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction. CoRR abs/2405.11769 (2024) - [i23]Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E:
Uni-Mol2: Exploring Molecular Pretraining Model at Scale. CoRR abs/2406.14969 (2024) - [i22]Zhanghao Zhouyin, Zixi Gan, Shishir Kumar Pandey, Linfeng Zhang, Qiangqiang Gu:
Learning local equivariant representations for quantum operators. CoRR abs/2407.06053 (2024) - [i21]Boshen Zeng, Sian Chen, Xinxin Liu, Changhong Chen, Bin Deng, Xiaoxu Wang, Zhifeng Gao, Yuzhi Zhang, Weinan E, Linfeng Zhang:
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design. CoRR abs/2407.06152 (2024) - [i20]Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai:
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. CoRR abs/2408.15545 (2024) - [i19]Jijie Zou, Zhanghao Zhouyin, Dongying Lin, Linfeng Zhang, Shimin Hou, Qiangqiang Gu:
Deep Learning Accelerated Quantum Transport Simulations in Nanoelectronics: From Break Junctions to Field-Effect Transistors. CoRR abs/2411.08800 (2024) - [i18]Xi Fang, Jiankun Wang, Xiaochen Cai, Shangqian Chen, Shuwen Yang, Lin Yao, Linfeng Zhang, Guolin Ke:
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild. CoRR abs/2411.11098 (2024) - [i17]Yaorui Shi, Sihang Li, Taiyan Zhang, Xi Fang, Jiankun Wang, Zhiyuan Liu, Guojiang Zhao, Zhengdan Zhu, Zhifeng Gao, Renxin Zhong, Linfeng Zhang, Guolin Ke, Weinan E, Hengxing Cai, Xiang Wang:
Intelligent System for Automated Molecular Patent Infringement Assessment. CoRR abs/2412.07819 (2024) - 2023
- [j8]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: 108520 (2023) - [j7]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [c4]Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke:
Uni-Mol: A Universal 3D Molecular Representation Learning Framework. ICLR 2023 - [i16]Shuqi Lu, Zhifeng Gao, Di He, Linfeng Zhang, Guolin Ke:
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+. CoRR abs/2303.16982 (2023) - [i15]Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang:
Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction. CoRR abs/2304.12239 (2023) - 2022
- [j6]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): 20-29 (2022) - [c3]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. PPoPP 2022: 205-218 - [i14]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 abs/2201.01446 (2022) - [i13]Wenfei Li, Qi Ou, Yixiao Chen, Yu Cao, Renxi Liu, Chunyi Zhang, Daye Zheng, Chun Cai, Xifan Wu, Han Wang, Mohan Chen, Linfeng Zhang:
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials. CoRR abs/2206.10093 (2022) - [i12]Duo Zhang, Hangrui Bi, Fu-Zhi Dai, Wanrun Jiang, Linfeng Zhang, Han Wang:
DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation. CoRR abs/2208.08236 (2022) - [i11]Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang:
A deep variational free energy approach to dense hydrogen. CoRR abs/2209.06095 (2022) - 2021
- [j5]Denghui Lu, Han Wang, Mohan Chen, 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. Comput. Phys. Commun. 259: 107624 (2021) - [j4]Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin:
Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks. J. Comput. Phys. 443: 110523 (2021) - 2020
- [j3]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: 107206 (2020) - [c2]Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang:
Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning. SC 2020: 5 - [i10]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 abs/2004.11658 (2020) - [i9]Weinan E, Jiequn Han, Linfeng Zhang:
Integrating Machine Learning with Physics-Based Modeling. CoRR abs/2006.02619 (2020) - [i8]Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E:
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory. CoRR abs/2008.00167 (2020)
2010 – 2019
- 2019
- [j2]Jiequn Han, Linfeng Zhang, Weinan E:
Solving many-electron Schrödinger equation using deep neural networks. J. Comput. Phys. 399 (2019) - [i7]Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin:
Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks. CoRR abs/1912.00775 (2019) - [i6]Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang:
Universal approximation of symmetric and anti-symmetric functions. CoRR abs/1912.01765 (2019) - 2018
- [j1]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: 178-184 (2018) - [c1]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: 4441-4451 - [i5]Linfeng Zhang, Weinan E, Lei Wang:
Monge-Ampère Flow for Generative Modeling. CoRR abs/1809.10188 (2018) - [i4]Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E:
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation. CoRR abs/1810.11890 (2018) - 2017
- [i3]Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E:
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics. CoRR abs/1707.09571 (2017) - [i2]Linfeng Zhang, Han Wang, Weinan E:
Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology. CoRR abs/1712.03461 (2017) - [i1]Han Wang, Linfeng Zhang, Jiequn Han, Weinan E:
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. CoRR abs/1712.03641 (2017)
Coauthor Index
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