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PICS Colloquium: “Machine learning for Fluid Mechanics”
PICS Colloquium: “Machine learning for Fluid Mechanics”
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-intensive computations. Indeed, […]