Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models. (arXiv:2201.03200v2 [physics.flu-dyn] UPDATED)

In this paper, we develop a multivariate regression model and a neural
network model to predict the Reynolds number (Re) and Nusselt number in
turbulent thermal convection. We compare their predictions with those of
earlier models of convection: Grossmann-Lohse~[Phys. Rev. Lett. \textbf{86},
3316 (2001)], revised Grossmann-Lohse~[Phys. Fluids \textbf{33}, 015113
(2021)], and Pandey-Verma [Phys. Rev. E \textbf{94}, 053106 (2016)] models. We
observe that although the predictions of all the models are quite close to each
other, the machine learning models developed …

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