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…