Working session "Flight Physics: Application of Machine Learning to Aerodynamic Design"

Giuseppe Mingione (CIRA) - Robust High-Lift device aerodynamic design using advanced surrogate models based on Physics Informed Neural Networks.

Michaël Méheut (ONERA) - Machine-learning based Turbulence Models for Aerodynamics Computations

Bambang Soemarwoto (NLR) - Inverse Machine Learning for Aerodynamic Design, a Way Forward

Niko Bier (DLR) - Machine Learning in Aerodynamics - A User‘s Perspective