Deep Learning for Turbulence Closure Modeling

Explore how deep learning and neural networks are revolutionizing turbulent fluid dynamics modeling in this 22-minute video. Delve into the application of deep learning for turbulence closure modeling, focusing on Reynolds averaged Navier Stokes (RANS) equations and large eddy simulations (LES). Gain insights into the latest advancements in this field, including a review of relevant papers and a recap of key concepts. Learn about Pope's contributions and the significance of large eddy simulations in modern fluid dynamics research.