Physics-Guided Deep Learning for Fluid Dynamics - Rose Yu

Physics-Guided Deep Learning for Fluid Dynamics - Rose Yu

Explore physics-guided deep learning approaches for fluid dynamics in this conference talk from the Machine Learning for Climate KITP conference. Delve into the promise of deep learning for accelerating turbulence simulations and improving ocean current forecasts. Examine hybrid learning frameworks, turbulent-flow networks, and techniques for incorporating symmetry to enhance generalization. Gain insights into data-driven methods for addressing complex climate system challenges and advancing theoretical understanding of Earth systems.