Foundation Models for Continuum Dynamics & Universal Flow Prediction

This course introduces the next generation of AI models designed to learn and simulate flow behavior across vastly different physical domains — from atmospheric circulation and ocean dynamics to plasma flows, astrophysical phenomena, and turbulence. Learners will explore how cross-domain foundation models unify physics, machine learning, and numerical simulation to predict the behavior of fluids, gases, and plasmas with unprecedented accuracy. Topics include neural operators, physics-informed models, multi-scale turbulence, transfer learning between physical systems, and real-world applications such as climate modeling, fusion research, and space weather forecasting.