260 citations · 325 across the 8 of their papers we have counts for
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physics.flu-dyn2023★ 18 cited
Space-dependent Aggregation of Stochastic Data-driven Turbulence Models
Soufiane Cherroud, Xavier Merle, Paola Cinnella +1
A stochastic Machine-Learning approach is developed for data-driven Reynolds-Averaged Navier-Stokes (RANS) predictions of turbulent flows, with quantified model uncertainty. This i…
physics.flu-dyn2023
Space-dependent turbulence model aggregation using machine learning
Maximilien de Zordo-Banliat, Grégory Dergham, Xavier Merle +1
In this article, we propose a data-driven methodology for combining the solutions of a set of competing turbulence models. The individual model predictions are linearly combined fo…