Machine Learning for Fluid Dynamics: Models and Control

Explore the intersection of machine learning and fluid dynamics in this 32-minute video lecture. Delve into current applications of machine learning for modeling and controlling fluid systems. Discover the existence of patterns in fluid mechanics, examine the complexity of fluid dynamics through the Kolmogorov Energy Cascade, and learn about RANS closure models. Investigate the Sparse Identification of Nonlinear Dynamics (SINDY) technique and explore Deep Model Predictive Control (MPC) for fluid flow control. Access additional resources, including a downloadable paper from the Annual Review of Fluid Mechanics and follow updates from the presenter, Steve Brunton, on social media and his website.

MACHINE LEARNING FOR FLUID MECHANICS
PATTERNS EXIST
COMPLEXITY
Kolmogorov Energy Cascade
RANS CLOSURE MODELS
Sparse Identification of Nonlinear Dynamics (SINDY)
Deep MPC for Fluid Flow Control