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Physics-guided machine learning for turbulence closure and reduced-order modeling
(2022-07)
A recent advance in scientific machine learning has started to show promising results in fluid mechanics. Despite their early success, the application of data-driven methods to turbulent flow simulation is non-trivial due ...