Steve Brunton: “Machine Learning for Fluid Mechanics“

Transport and Mixing in Complex and Turbulent Flows 2021 “Machine Learning for Fluid Mechanics“ Steve Brunton - University of Washington Abstract: Many tasks in fluid mechanics, such as design optimization and control, are challenging because fluids are nonlinear and exhibit a large range of scales in both space and time. This range of scales necessitates exceedingly high-dimensional measurements and computational discretization to resolve all relevant features, resulting in vast data sets and time-intens