Deep Learning for Turbulence Closure Modeling

Описание к видео Deep Learning for Turbulence Closure Modeling

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).

Citable link for this video: https://doi.org/10.52843/cassyni.rk0crt

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This video was produced at the University of Washington

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