MS002A Machine learning and data-driven approaches for optimization and uncertainty quantification in aerodynamics I
MS Corresponding Organizer: Dr. Esther Andrés Pérez (INTA)
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:
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Aerodynamic predictions under uncertainty using Autoencoders
E. Saetta*, R. Tognaccini, G. Iaccarino -
Registration-based Model Order Reduction for Aerospace Propulsion Systems
A. Ferrero*, L. Stumpo, T. Taddei -
Inverse airfoil design considering uncertainties of GAN models
K. Yonekura*, R. Aoki, K. Suzuki -
Multi-Fidelity Surrogate Model for Efficient Aerodynamic Predictions
J. Nieto-Centenero*, A. Martinez-cava, E. Andrés -
Comparison of data -driven methods for the prediction of flows about a wing
J. PETER*
