34 citations · 52 across the 5 of their papers we have counts for
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physics.flu-dyn2021★ 14 cited
Robust deep learning for emulating turbulent viscosities
Aakash Patil, Jonathan Viquerat, George El Haber +1
From the simplest models to complex deep neural networks, modeling turbulence with machine learning techniques still offers multiple challenges. In this context, the present contri…
physics.flu-dyn2021★ 34 cited
An open source MATLAB package to perform basic and advanced statistical analysis of turbulence data and other complex systems
André Fuchs, Swapnil Kharche, Matthias Wächter +1
We present a user-friendly open-source MATLAB\textsuperscript{\textregistered} package developed by the research group Turbulence, Wind energy and Stochastics (TWiSt) at the Carl v…