AI for Scientific Simulation and Discovery Lab

Our research group at Westlake University (西湖大学) carries out long-term work on core and universal problems for AI + Science:

• AI for scientific simulation, design, and control: Developing machine learning algorithms (based on Graph Neural Networks and Diffusion Models) for large-scale, multi-scale scientific simulation (applied to fluid dynamics, materials, plasmas), scientific design (protein design, materials design, mechanical design), and control (fluid control, PDE control);
• AI for scientific discovery: Developing machine learning algorithms (based on foundation models and neuro-symbolic AI) to discover universal rules and internal structures in scientific systems (applied to life sciences and physics);

Group website: https://ai4s.lab.westlake.edu.cn/

Collaborators (a non-exhaustive list):

• Prof. Kentaro Hara at Stanford University
• Prof. Chao Tang（汤超）at Peking University
• Prof. Yuansheng Cao（曹远胜）at Tsinghua University
• Prof. Yoshua Bengio at MILA
• Prof. Sebastian Musslick at Brown University
• Prof. Ziqing Li（李子青）at Westlake University
• Yilun Du at MIT EECS