48 citations · 94 across the 17 of their papers we have counts for
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physics.flu-dyn2018
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
Romit Maulik, Omer San, Adil Rasheed +1
In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for s…
physics.flu-dyn2018
Sub-grid modelling for two-dimensional turbulence using neural networks
Romit Maulik, Omer San, Adil Rasheed +1
In this investigation, a data-driven turbulence closure framework is introduced and deployed for the sub-grid modelling of Kraichnan turbulence. The novelty of the proposed method…