Deep Learning for Turbulence Closure Modeling

This course teaches learners how to apply deep learning techniques to turbulence closure modeling, specifically for the Reynolds averaged Navier Stokes equations and large eddy simulations. The course aims to help students understand the application of deep neural networks in modeling turbulent fluid dynamics. The teaching method involves an introductory overview, a review paper discussion, a recap session, and a focus on large eddy simulations. This course is intended for individuals interested in the intersection of deep learning and fluid dynamics, particularly in the context of turbulence closure modeling.