MS002B Machine learning and data-driven approaches for optimization and uncertainty quantification in aerodynamics II
MS Corresponding Organizer:
Dr.
Esther Andrés Pérez
(
INTA
, Spain
)
Chaired by:
Dr. Domenico Quagliarella (CIRA , Italy) , Dr. Esther Andrés Pérez (INTA , Spain)
Dr. Domenico Quagliarella (CIRA , Italy) , Dr. Esther Andrés Pérez (INTA , Spain)
Scheduled presentations:
-
Latent Regression of Transonic Wing Pressure distributions
-
Physics-informed Machine Learning for Surrogate Modelling and Design Optimization
-
A Multi-Fidelity Aerodynamic Shape Design Optimization Procedure Using Physically Informed Machine Learning
-
Integrating Dimensionality Reduction and Bayesian Regression in a Reduced-Order Modeling Framework for Atmospheric Boundary Layer Flows Simulations
