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20162020
most citedA Comprehensive Physics-Informed Machine Learning Framework for Predictive Turbulence Modeling

514 citations · 1.2k across the 5 of their papers we have counts for

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physics.comp-ph2016★ 67 cited

A Priori Assessment of Prediction Confidence for Data-Driven Turbulence Modeling

Jin-Long Wu, Jian-Xun Wang, Heng Xiao +1

Although Reynolds-Averaged Navier-Stokes (RANS) equations are still the dominant tool for engineering design and analysis applications involving turbulent flows, standard RANS mode…