481 citations · 1.3k across the 50 of their papers we have counts for
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An adverse-pressure-gradient turbulent boundary layer with nearly-constant up to
Ramon Pozuelo, Qiang Li, Philipp Schlatter +1
In this study, a new well-resolved large-eddy-simulation (LES) of an incompressible near-equilibrium adverse-pressure-gradient (APG) turbulent boundary layer (TBL) over a flat plat…
Towards adaptive simulations of turbulent wings at high Reynolds numbers
F. Mallor, Á. Tanarro, N. Offermans +3
Adaptive mesh refinement (AMR) in the high-order spectral-element method code Nek5000 is demonstrated and validated with well-resolved large-eddy simulations (LES) of the flow past…
Interpretable deep-learning models to help achieve the Sustainable Development Goals
Ricardo Vinuesa, Beril Sirmacek
We discuss our insights into interpretable artificial-intelligence (AI) models, and how they are essential in the context of developing ethical AI systems, as well as data-driven s…
Predicting the near-wall region of turbulence through convolutional neural networks
A. G. Balasubramanian, L. Guastoni, A. Güemes +5
Modelling the near-wall region of wall-bounded turbulent flows is a widespread practice to reduce the computational cost of large-eddy simulations (LESs) at high Reynolds number. A…
Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter +1
Physics-informed neural networks (PINNs) are successful machine-learning methods for the solution and identification of partial differential equations (PDEs). We employ PINNs for s…
Decomposition of the mean friction drag on a NACA4412 airfoil under uniform blowing/suction
Yitong Fan, Marco Atzori, Ricardo Vinuesa +3
The application of drag-control strategies on canonical wall-bounded turbulence, such as periodic channel and zero- or adverse-pressure-gradient boundary layers, raises the questio…