My research focuses on answering the question: “How to bond AI algorithms with physical dynamics to simulate the Way How the real world works.” Specifically, I work on applying machine learning methods in conjunction with numerical schemes for solving partial differential equations (PDEs). Currently, I am a Ph.D. student in Nils Thuerey‘s group, at Technical University of Munich. I received my M.Eng. degree from Zhejiang University, China in June 2023.

Publication [Google Scholar]

Publication after joining:

  • Franz A, Wei H, Guastoni L, et al. PICT–A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics[J]. arXiv preprint arXiv:2505.16992, 2025.☛ [Project]

Teaching

    • Summer 2024: Seminar – Deep Learning in Computer Graphics
    • Summer 2025: Seminar – Deep Learning in Physics
    • Winter 2024: Game Physics, Exercise part

Bachelor’s / Master’s Theses

If you’re interested in a Bachelor’s or Master’s thesis related to my work, please contact me.

Contact

E-mail: hao.wei (at) tum (dot) de
Phone: +49.89.289.1736
Fax: +49.89.289.17376
Room: 02.13.039