Collaborators

I have been fortunate to work with many talented researchers and professors throughout my academic journey.

Continue updating this page with more collaborators and their contributions.

David Srolovitz

David Srolovitz

The University of Hong Kong

Materials theory, Simulations of defects, Microstructure, Deformation, and Film growth

Linfeng Zhang

Linfeng Zhang

DP Technology; AI for Science Institute

AI for Science, Multi-scale modeling, Molecular simulation, Materials design

Zhuoyuan Li

Zhuoyuan Li

The University of Hong Kong

Inverse design, Automatic workflow, Density functional theory, Machine learning potential

Beilin Ye

Beilin Ye

The University of Hong Kong

AI for ceramic materials, high entropy alloys

Siyu Liu

Siyu Liu

The University of Hong Kong

Large language model, Machine learning, Deep learning for materials

Yang Sun

Yang Sun

Columbia University

Weinan E

Weinan E

Peking University

Applied mathematics

Han Wang

Han Wang

Institute of Applied Physics and Computational Mathematics

Molecular dynamics, Machine learning, Rare events, Multiscale simulation

Cai-Zhuang Wang

Cai-Zhuang Wang

Ames National Laboratory

Condensed Matter Physics

Kai-Ming Ho

Kai-Ming Ho

Iowa State University

Condensed Matter

Yanhui Liu

Yanhui Liu

Institute of Physics, CAS

Combinatorial alloy development, Metallic glasses

Jian Han

Jian Han

City University of Hong Kong

Materials Science and Engineering

Zhaoxuan Wu

Zhaoxuan Wu

City University of Hong Kong

Multiscale Modeling and Simulation, Plasticity Theory, HCP Metals, Alloy Design

Mohan Chen

Mohan Chen

Peking University

Density Functional Theory, Molecular Dynamics

Jianqiu Liu

Jianqiu Liu

The University of Hong Kong

CPFEM and MD simulations of void evolution in metallic materials

Bo Hu

Bo Hu

The University of Hong Kong

LLM for materials, AI for grain boundaries

A. S. L. Subrahmanyam Pattamatta

A. S. L. Subrahmanyam Pattamatta

The University of Hong Kong

Computational mechanics, materials science and high performance computing

Xiaoguo Gong

Xiaoguo Gong

The University of Hong Kong

Machine learning potentials and grain boundary simulations in fcc metals

Yuewen Yang

Yuewen Yang

The University of Hong Kong

MDFT, TD-DFT and MD for energy conversion