- Article
Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow
- Fabian Pioch,
- Jan Hauke Harmening,
- Andreas Maximilian Müller,
- Franz-Josef Peitzmann,
- Dieter Schramm and
- Ould el Moctar
Physics-informed neural networks (PINN) can be used to predict flow fields with a minimum of simulated or measured training data. As most technical flows are turbulent, PINNs based on the Reynolds-averaged Navier–Stokes (RANS) equations incorpo...

