Our ICML paper about our approach to Aerodynamic shape optimization. This new contribution using the Geometric Deep Learning methods, improves upon previously used Kriging-based surrogate models for CFD optimization.
- On the quest to break the world record: SP80 and Neural Concept are collaborating to optimize ventilated hydrofoils profiles
- The importance of uncertainty quantification for Deep Learning models in CAE
- Deep Learning-based models for fast evaluations of airfoil performances in transonic flows
- NCS to enhance the design of turbomachines
- Training deep learning models efficiently on the cloud