79 citations · 136 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…
A curated dataset for data-driven turbulence modelling
Ryley McConkey, Eugene Yee, Fue-Sang Lien
The recent surge in machine learning augmented turbulence modelling is a promising approach for addressing the limitations of Reynolds-averaged Navier-Stokes (RANS) models. This wo…