activity
20232025
most citedturbo-RANS: Straightforward and Efficient Bayesian Optimization of Turbulence Model Coefficients

10 citations · 12 across the 4 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

physics.flu-dyn2024★ 1 cited

Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings

Ryley McConkey, Nikhila Kalia, Eugene Yee +1

Within the context of machine learning-based closure mappings for RANS turbulence modelling, physical realizability is often enforced using ad-hoc postprocessing of the predicted a…