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Can Deep Learning be applied to Computational Fluid Dynamics (CFD) to develop turbulence models that are less computationally expensive compared to traditional CFD modeling?

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Read the paper Deep learning in fluid dynamics (by J. Nathan Kutz), and you will find your answer.

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  • $\begingroup$ Thank you Muhammad. This is exactly what I was looking for, especially the cited article by Ling et al (2016) - bit.ly/2UQlznV. The article seems to be a pivotal one applying Deep Neural Networks to a model Reynolds Averaged Navier-Stokes system. $\endgroup$ Mar 22 '19 at 17:01

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