Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization
Steve Brunton via YouTube
Overview
Syllabus
Introduction.
Interpretable and Generalizable Machine Learning.
SINDy Overview.
Discovering Partial Differential Equations.
Deep Autoencoder Coordinates.
Modeling Fluid Flows with Galerkin Regression.
Chaotic thermo syphon.
Chaotic electroconvection.
Magnetohydrodynamics.
Nonlinear correlations.
Stochastic SINDy models for turbulence.
Dominant balance physics modeling.
Taught by
Steve Brunton