This course introduces PhysAI and GenAI as complementary approaches to natural scientific discovery. PhysAI refers to physics-inspired AI models that embed domain knowledge, physical laws, and invariances into learning frameworks, enabling models to achieve greater robustness, accuracy, and interpretability. In contrast, GenAI leverages generative modeling to create hypotheses, design candidates, and explore novel scientific paradigms beyond the limits of existing data. Together, PhysAI and GenAI form a powerful synergy: PhysAI accelerates and strengthens established paradigms, while GenAI opens pathways to entirely new directions of research. Through this integration, PhysAI and GenAI hold the potential to transform discovery in chemistry, materials science, and biology.

• Office: SHB 1016
• Office Hour: By Appointment
• Contact: scliu@cuhk.edu.hk