Linfeng Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Venues

The Journal of chemical physics

Journal of chemical theory and computation

The journal of physical chemistry. B

Nature computational science

Princeton University (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Princeton University Sep 01 2016

United States

PHD :: PACM

Publications

Jianchuan Liu, Xingchen Zhang, Tao Chen, Yuzhi Zhang, Duo Zhang, Linfeng Zhang, Mohan Chen
Machine-Learning-Based Interatomic Potentials for Group IIB to VIA Semiconductors: Toward a Universal Model. Journal of chemical theory and computation (2024)
Jianchuan Liu, Xingchen Zhang, Tao Chen, Yuzhi Zhang, Duo Zhang, Linfeng Zhang, Mohan Chen
Machine-Learning-Based Interatomic Potentials for Group IIB to VIA Semiconductors: Toward a Universal Model. Journal of chemical theory and computation 20 (13) (2024)
Xinyan Wang, Jichen Li, Lan Yang, Feiyang Chen, Yingze Wang, Junhan Chang, Junmin Chen, Wei Feng, Linfeng Zhang, Kuang Yu
DMFF: An Open-Source Automatic Differentiable Platform for Molecular Force Field Development and Molecular Dynamics Simulation. Journal of chemical theory and computation (2023)
Cunzhi Zhang, Marcello Puligheddu, Linfeng Zhang, Roberto Car, Giulia Galli
Thermal Conductivity of Water at Extreme Conditions. The journal of physical chemistry. B (2023)
Pei Ge, Linfeng Zhang, Huan Lei
Machine learning assisted coarse-grained molecular dynamics modeling of meso-scale interfacial fluids. The Journal of chemical physics 158 (6) (2023)
Yixiao Chen, Linfeng Zhang, Weinan E, Roberto Car
Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems. Journal of chemical theory and computation (2023)
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. The journal of physical chemistry. A (2022)
Shuwen Yue, Maria Carolina Muniz, Marcos F Calegari Andrade, Linfeng Zhang, Roberto Car, Athanassios Z Panagiotopoulos
When do short-range atomistic machine-learning models fall short? The Journal of chemical physics 154 (3) (2021)
Dongdong Wang, Yanze Wang, Junhan Chang, Linfeng Zhang, Han Wang, Weinan E
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. Nature computational science 2 (1) (2021)
Chunyi Zhang, Fujie Tang, Mohan Chen, Jianhang Xu, Linfeng Zhang, Diana Y Qiu, John P Perdew, Michael L Klein, Xifan Wu
Modeling Liquid Water by Climbing up Jacob's Ladder in Density Functional Theory Facilitated by Using Deep Neural Network Potentials. The journal of physical chemistry. B 125 (41) (2021)
Dongdong Wang, Yanze Wang, Junhan Chang, Linfeng Zhang, Han Wang, Weinan E
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. Nature computational science 2 (1) (2021)
Thomas E Gartner Iii, Linfeng Zhang, Pablo M Piaggi, Roberto Car, Athanassios Z Panagiotopoulos, Pablo G Debenedetti
Signatures of a liquid-liquid transition in an ab initio deep neural network model for water. Proceedings of the National Academy of Sciences of the United States of America 117 (42) (2020)
Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
Ground State Energy Functional with Hartree-Fock Efficiency and Chemical Accuracy. The journal of physical chemistry. A 124 (35) (2020)
Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
DeePKS: A Comprehensive Data-Driven Approach toward Chemically Accurate Density Functional Theory. Journal of chemical theory and computation 17 (1) (2020)
Linfeng Zhang, Han Wang, Weinan E
Adaptive coupling of a deep neural network potential to a classical force field. The Journal of chemical physics 149 (15) (2018)
Linfeng Zhang, Han Wang, Weinan E
Reinforced dynamics for enhanced sampling in large atomic and molecular systems. The Journal of chemical physics 148 (12) (2018)
Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
DeePCG: Constructing coarse-grained models via deep neural networks. The Journal of chemical physics 149 (3) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Linfeng Zhang