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20202022
most citedStable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning

114 citations · 337 across the 5 of their papers we have counts for

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2 papers · 1 filter

physics.flu-dyn2022★ 50 cited

Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow

Adam Subel, Yifei Guan, Ashesh Chattopadhyay +1

Transfer learning (TL) is becoming a powerful tool in scientific applications of neural networks (NNs), such as weather/climate prediction and turbulence modeling. TL enables out-o…

physics.flu-dyn2022★ 60 cited

Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES

Yifei Guan, Adam Subel, Ashesh Chattopadhyay +1

We demonstrate how incorporating physics constraints into convolutional neural networks (CNNs) enables learning subgrid-scale (SGS) closures for stable and accurate large-eddy simu…