# Connecting implicit and explicit large eddy simulations of two-dimensional turbulence through machine learning.

@inproceedings{Maulik2019ConnectingIA, title={Connecting implicit and explicit large eddy simulations of two-dimensional turbulence through machine learning.}, author={Romit Maulik and Omer San and Jamey D. Jacob}, year={2019} }

- Published 2019

In this article, we utilize machine learning to dynamically determine if a point on the computational grid requires implicit numerical dissipation for large eddy simulation (LES). The decision making process is learnt through a priori training on quantities derived from direct numerical simulation (DNS) data. In particular, we compute eddy-viscosities obtained through the coarse graining of DNS quantities and utilize their distribution to categorize areas that require dissipation. If our… CONTINUE READING