138 citations · 141 across the 4 of their papers we have counts for
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physics.flu-dyn2021★ 138 cited
Physics-guided deep learning framework for predictive modeling of the Reynolds stress anisotropy
Chao Jiang
Despite a cost-effective option in practical engineering, Reynolds-averaged Navier-Stokes simulations are facing the ever-growing demand for more accurate turbulence models. Recent…
physics.flu-dyn2018
History effects for cambered and symmetric wing profiles
A. Tanarro, R. Vinuesa, P. Schlatter
The characteristics of complex turbulent boundary layers under adverse pressure gradients are assessed through well-resolved large-eddy simulations (LES) with the spectral-element…
physics.flu-dyn2018★ 1 cited
History effects and near-equilibrium in turbulent boundary layers with pressure gradient
P. Schlatter, R. Vinuesa, A. Bobke +1
Turbulent boundary layers under adverse pressure gradients are studied using well-resolved large-eddy simulations (LES) with the goal of assessing the influence of the streamwise p…