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
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
M. LIPPI, J. PETER*
