Machine Learning for Fluid Dynamics - Patterns

This video surveys how machine learning can extract patterns and coherent structures from high-dimensional fluid dynamics data. It discusses proper orthogonal decomposition, robust statistics, autoencoders, super-resolution, and statistical stationarity for reconstructing and modeling flow fields.