481 citations · 1.3k across the 50 of their papers we have counts for
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Emerging trends in machine learning for computational fluid dynamics
Ricardo Vinuesa, Steve Brunton
The renewed interest from the scientific community in machine learning (ML) is opening many new areas of research. Here we focus on how novel trends in ML are providing opportuniti…
The effect of wing-tip vortices on the flow around a NACA0012 wing
Siavash Toosi, Adam Peplinski, Philipp Schlatter +1
The goal of the present work is to perform a systematic study of the formation of wing-tip vortices and their interaction with and impact on the surrounding flow in more details. O…
Causality analysis of large-scale structures in the flow around a wall-mounted square cylinder
Álvaro Martínez-Sánchez, Esteban López, Soledad Le Clainche +3
The aim of this work is to analyse the formation mechanisms of large-scale coherent structures in the flow around a wall-mounted square cylinder, due to their impact on pollutant t…
Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers
L. Guastoni, A. G. Balasubramanian, F. Foroozan +6
Fully-convolutional neural networks (FCN) were proven to be effective for predicting the instantaneous state of a fully-developed turbulent flow at different wall-normal locations…
New insight into the spectra of turbulent boundary layers with pressure gradients
Ramón Pozuelo, Qiang Li, Philipp Schlatter +1
With the availability of new high-Reynolds-number () databases of turbulent boundary layers (TBLs) it has been possible to identify in detail certain regions of the boundary la…
High-resolution large-eddy simulations of simplified urban flows
Marco Atzori, Pablo Torres, Alvaro Vidal +3
High-fidelity large-eddy simulations of the flow around two rectangular obstacles are carried out at a Reynolds number of 10,000 based on the free-stream velocity and the obstacle…