MS002A Machine learning and data-driven approaches for optimization and uncertainty quantification in aerodynamics I
MS Corresponding Organizer:
Dr.
Esther Andrés Pérez
(
INTA
, Spain
)
Chaired by:
Dr. Esther Andrés Pérez (INTA , Spain) , Dr. Domenico Quagliarella (CIRA , Italy)
Dr. Esther Andrés Pérez (INTA , Spain) , Dr. Domenico Quagliarella (CIRA , Italy)
Scheduled presentations:
-
Aerodynamic predictions under uncertainty using Autoencoders
-
Registration-based Model Order Reduction for Aerospace Propulsion Systems
-
Inverse airfoil design considering uncertainties of GAN models
-
Multi-Fidelity Surrogate Model for Efficient Aerodynamic Predictions
-
Comparison of data -driven methods for the prediction of flows about a wing
