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most citedDiscovery of a Physically Interpretable Data-Driven Wind-Turbine Wake Model

2 citations · 3 across the 6 of their papers we have counts for

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physics.flu-dyn2026

Bayesian neural network correction of RANS turbulence models with uncertainty quantification in separated flows

Tyler Buchanan, Ali Eidi, Richard P. Dwight

Data-driven correction of turbulence models offers a promising route for improving Reynolds-averaged Navier-Stokes (RANS) predictions, but quantifying uncertainty in such correctio…