Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models

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