Blar i SINTEF på tidsskrift "Physics of fluids"
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Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
(Journal article; Peer reviewed, 2018)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 sub-grid scale turbulence effects. We ...