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Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature “Machine Learning for Fluid Mechanics“ Petros Koumoutsakos - ETH Zürich Abstract: The field of fluid mechanics experiences today a shift from first principles to data driven approaches. While fluid mechanics has always involved massive volumes of data from experiments, field measurements, and large-scale simulations and de
