Deep Learning for Turbulence Closure Modeling

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20 May 2021

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Machine learning, and in particular deep neural networks, are currently revolutionizing how we model turbulent fluid dynamics. This video describes how deep learning is being used for turbulence closure modeling, especially for the Reynolds averaged Navier Stokes (RANS) equations and large eddy simulations (LES). @eigensteve on Twitter

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