79 citations · 148 across the 11 of their papers we have counts for
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physics.flu-dyn2022★ 17 cited
On the generalizability of machine-learning-assisted anisotropy mappings for predictive turbulence modelling
Ryley McConkey, Eugene Yee, Fue-Sang Lien
Several machine learning frameworks for augmenting turbulence closure models have been recently proposed. However, the generalizability of an augmented turbulence model remains an…
physics.flu-dyn2022★ 40 cited
Deep Structured Neural Networks for Turbulence Closure Modelling
Ryley McConkey, Eugene Yee, Fue-Sang Lien
Despite well-known limitations of Reynolds-averaged Navier-Stokes (RANS) simulations, this methodology remains the most widely used tool for predicting many turbulent flows, due to…