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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asked Mar 22, 2019 at 9:07
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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, 2019 at 17:01