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):
