481 citations · 1.2k across the 57 of their papers we have counts for
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Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model
Saleh Rezaeiravesh, Timofey Mukha, Philipp Schlatter
High-fidelity scale-resolving simulations of turbulent flows quickly become prohibitively expensive, especially at high Reynolds numbers. As a remedy, we may use multifidelity mode…
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…
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…
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran
Martin Karp, Daniele Massaro, Niclas Jansson +4
We present our approach to making direct numerical simulations of turbulence with applications in sustainable shipping. We use modern Fortran and the spectral element method to lev…
Predicting the temporal dynamics of turbulent channels through deep learning
Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi +2
The success of recurrent neural networks (RNNs) has been demonstrated in many applications related to turbulence, including flow control, optimization, turbulent features reproduct…