79 citations · 148 across the 11 of their papers we have counts for
3 papers · 1 filter
Implicit Augmentation from Distributional Symmetry in Turbulence Super-Resolution
Julia Balla, Jeremiah Bailey, Ali Backour +4
The immense computational cost of simulating turbulence has motivated the use of machine learning approaches for super-resolving turbulent flows. A central challenge is ensuring th…
Kolmogorov-Arnold Networks for Turbulence Anisotropy Mapping
Nikhila Kalia, Ryley McConkey, Eugene Yee +1
This study evaluates the generalization performance and representation efficiency (parsimony) of a previously introduced Tensor Basis Kolmogorov-Arnold Network (TBKAN) architecture…
Bayesian Optimization of the GEKO Turbulence Model for Predicting Flow Separation Over a Smooth Surface
Nikhila Kalia, Ryley McConkey, Eugene Yee +1
This paper applies Bayesian-optimization-RANS (turbo-RANS) to improve Reynolds-averaged Navier-Stokes (RANS) turbulence models for a converging-diverging channel, a case with adver…