MS008A Advances in machine learning and data-driven techniques for aerodynamic 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:
-
Student
Beta-Variational Autoencoders for Data-Driven Aerodynamic Models
-
Student
Leveraging Machine Learning for CFD Flow Field Classification
-
Extracting Large-scale Coherent Structures from Turbulent Flow by Combining Dynamic Mode Decomposition and β-Variational Autoencoders
-
Multi-fidelity surrogate-assisted multi-objective optimization: application to a low reynolds number compressor blade design
