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The Journal of Chemical Physics|October 22, 2018
Adaptive coupling of a deep neural network potential to a classical force fieldLinfeng Zhang, Han Wang, Weinan EThe Journal of Chemical Physics|April 2, 2018
Reinforced dynamics for enhanced sampling in large atomic and molecular systemsLinfeng Zhang, Han Wang, Weinan EPhysical Review Letters|June 25, 2021
Phase Diagram of a Deep Potential Water ModelLinfeng Zhang, Han Wang, Roberto Car, et al.The Journal of Physical Chemistry. A|August 14, 2020
Ground State Energy Functional with Hartree-Fock Efficiency and Chemical AccuracyYixiao Chen, Linfeng Zhang, Han Wang, et al.Journal of Chemical Theory and Computation|December 9, 2020
DeePKS: A Comprehensive Data-Driven Approach toward Chemically Accurate Density Functional TheoryYixiao Chen, Linfeng Zhang, Han Wang, et al.The Journal of Chemical Physics|July 25, 2018
DeePCG: Constructing coarse-grained models via deep neural networksLinfeng Zhang, Jiequn Han, Han Wang, et al.Physical Review Letters|April 26, 2018
Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum MechanicsLinfeng Zhang, Jiequn Han, Han Wang, et al.Nature Computational Science|January 4, 2024
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamicsDongdong Wang, Yanze Wang, Junhan Chang, et al.The Journal of Chemical Physics|March 9, 2021
Deep potential generation scheme and simulation protocol for the Li10GeP2S12-type superionic conductorsJianxing Huang, Linfeng Zhang, Han Wang, et al.The Journal of Chemical Physics|April 2, 2022
A deep potential model with long-range electrostatic interactionsLinfeng Zhang, Han Wang, Maria Carolina Muniz, et al.Pageof 532