Junhan Chang

A Perspective on Deep Learning for Molecular Modeling and Simulations.

Yi Isaac Yang, Y. I. Yang, Jun Zhang, 2020, The journal of physical chemistry. A.

A Perspective on Deep Learning for Molecular Modeling and Simulations

Zhen Zhang, Xu Han, Jun Zhang, 2020, The journal of physical chemistry. B.

Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics

W. E, Linfeng Zhang, Han Wang, 2021, Nature Computational Science.

DeePMD-kit v2: A software package for deep potential models

Rhys E. A. Goodall, E. Weinan, D. York, 2023, The Journal of chemical physics.

DMFF: An Open-Source Automatic Differentiable Platform for Molecular Force Field Development and Molecular Dynamics Simulation.

Wei Feng, Linfeng Zhang, Yingze Wang, 2023, Journal of chemical theory and computation.

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis

Junhan Chang, Linfeng Zhang, Zhifeng Gao, 2024, ArXiv.