69 citations · 116 across the 9 of their papers we have counts for
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physics.flu-dyn2023★ 1 cited
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS
Justin Sirignano, Jonathan F. MacArt
Deep learning (DL) has recently emerged as a candidate for closure modeling of large-eddy simulation (LES) of turbulent flows. High-fidelity training data is typically limited: it…
physics.flu-dyn2023
Deep Learning Closure of the Navier-Stokes Equations for Transition-Continuum Flows
Ashish S. Nair, Justin Sirignano, Marco Panesi +1
The predictive accuracy of the Navier-Stokes equations is known to degrade at the limits of the continuum assumption, thereby necessitating expensive and often highly approximate s…