Junhan Chang
Publications by Year
Research Areas
Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Protein Structure and Dynamics, Scientific Computing and Data Management, Computational Drug Discovery Methods
Most-Cited Works
- → DeePMD-kit v2: A software package for deep potential models(2023)479 cited
- → DPA-2: a large atomic model as a multi-task learner(2024)105 cited
- → Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics(2021)76 cited
- → A Perspective on Deep Learning for Molecular Modeling and Simulations(2020)53 cited
- → DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials(2025)50 cited
- → DMFF: An Open-Source Automatic Differentiable Platform for Molecular Force Field Development and Molecular Dynamics Simulation(2023)44 cited
- → SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis(2024)13 cited
- → DPA-2: Towards a universal large atomic model for molecular and materials simulation(2024)11 cited
- → DMFF: An Open-Source AutomaticDifferentiable Platform for Molecular Force FieldDevelopment and Molecular DynamicsSimulation(2022)10 cited