StableLES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to highervia transfer learning

Yifei Guan, Ashesh Chattopadhyay, Adam Subel, Pedram Hassanzadeh

Abstract: Highlights•Better subgrid-scale (SGS) models for large-eddy simulation (LES) are needed.•A deep learning-based, non-local data-driven SGS model is introduced.•This SGS model accurately captures the effect of small-scale structures.•Transfer learning enables the SGS model to extrapolate to more turbulent flows.•Resulting LES model is stable and generalizable with accuracy superior to baseline LES.