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: 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) and scientific design (protein design, materials design, mechanical design);
- AI for scientific discovery: Developing machine learning algorithms (based on neuro-symbolic AI and foundation models) to discover universal rules and internal structures in scientific systems (applied to life sciences and physics);
Website: https://tailin.org/.
Collaborators (a non-exhaustive list):