Overview
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This course surveys how machine learning is used to model, predict, estimate, and control complex fluid dynamics. It covers pattern extraction, reduced-order and closure modeling, SINDy, DMD, model predictive control, and reinforcement learning for flow control.
Syllabus
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
Taught by
Steve Brunton