MS004A Data-Driven innovations and machine learning In aerodynamic analysis, optimization and uncertainty quantification I
Main 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:
-
Multisource Scientific Machine Learning For Aerodynamic Design: Methods And Relevance To Sustainable Digital Twins
-
Aerothermal Shape Optimization Using Multi-Objective Surrogate-Based Optimizers
-
Data-Driven and Interpretable Sensitivity Analysis of Compressor Blade Performance Under Manufacturing-Induced Uncertainty
-
Sample-wise Interpolation of Fluid Simulations using Physics-informed Neural Networks
-
Hybrid CFD-Machine Learning Framework for Three-Dimensional Flow Quantification in Twin-Slot Jet Impingement
