MS229A Machine Learning for the Design of Sustainable and High-Performance Vehicles I
Main Organizer:
Dr.
Andrea Serani
(
National Research Council-Institute of Marine Engineering
, Italy
)
Chaired by:
Dr. Andrea Serani (National Research Council-Institute of Marine Engineering , Italy) , Prof. Laura Mainini (Imperial College London , United Kingdom)
Dr. Andrea Serani (National Research Council-Institute of Marine Engineering , Italy) , Prof. Laura Mainini (Imperial College London , United Kingdom)
Scheduled presentations:
-
Evaluation of SotA Deep Learning Architectures for Aerodynamical Predictions
-
Neural Network Generalization and Data Efficiency for Three-Dimensional Aerodynamic Problems
-
Evaluation of multi-fidelity methods for aero-structure design optimization
-
Unlocking Smarter Design: Exploring Multifidelity Frameworks to Accelerate Optimization of Vehicles
-
Development of a Mixture-of-Experts Framework using Multi-fidelity Residual Learning for High-dimensional Aerospace Applications
-
Accelerating ML Surrogate-Generation with Adaptive Sampling and GPU-CFD Workflow
