55 citations · 56 across the 2 of their papers we have counts for
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physics.flu-dyn2021★ 1 cited
Turbulence closure modeling with data-driven techniques: Investigation of generalizable deep neural networks
Salar Taghizadeh, Freddie Witherden, Yassin Hassan +1
Generalizability of machine-learning (ML) based turbulence closures to accurately predict unseen practical flows remains an important challenge. At the Reynolds-averaged Navier-Sto…
physics.flu-dyn2020★ 55 cited
Turbulence closure modeling with data-driven techniques: physical compatibility and consistency considerations
Salar Taghizadeh, Freddie D. Witherden, Sharath S. Girimaji
A recent thrust in turbulence closure modeling research is to incorporate machine learning (ML) elements, such as neural networks, for the purpose of enhancing the predictive capab…