MS002B Machine learning and data-driven approaches for optimization and uncertainty quantification in aerodynamics II
MS Corresponding Organizer: Dr. Esther Andrés Pérez (INTA)
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:
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Latent Regression of Transonic Wing Pressure distributions
V. Francés*, A. Solera-Rico, C. Sanmiguel Vila, E. Andrés, R. Castellanos -
Physics-informed Machine Learning for Surrogate Modelling and Design Optimization
Y. Sun* -
A Multi-Fidelity Aerodynamic Shape Design Optimization Procedure Using Physically Informed Machine Learning
D. Quagliarella* -
Integrating Dimensionality Reduction and Bayesian Regression in a Reduced-Order Modeling Framework for Atmospheric Boundary Layer Flows Simulations
H. Li*, L. Cotteleer, A. Gambale, A. Parente
