MS004E Data-Driven innovations and machine learning In aerodynamic analysis, optimization and uncertainty quantification V
Main Organizer:
Dr.
Esther Andrés Pérez
(
INTA
, Spain
)
Chaired by:
Phd. Rodrigo Castellanos (Universidad Carlos III de Madrid , Spain) , Dr. Domenico Quagliarella (CIRA , Italy)
Phd. Rodrigo Castellanos (Universidad Carlos III de Madrid , Spain) , Dr. Domenico Quagliarella (CIRA , Italy)
Scheduled presentations:
-
Multi-Fidelity Modeling for Uncertainty Quantification of a Supersonic Aircraft Design
-
Online learning of turbulence closure models via ensemble Kalman inversion and reinforcement learning
-
Multi-Fidelity Bayesian Optimization for Aerodynamic Design via Linear Gaussian Integration of Discrete Data and Physical Laws in Functional Form
-
Symbolic Shock Sensor for Physics-Informed Mixture-of-Experts Surrogates in Transonic Aerodynamics
