Shape Optimization using Geodesic Convolutional Networks
We published on Arxiv a paper about a new approach to Aerodynamic shape optimization. It improves upon previously used Kriging-based surrogate models for CFD optimization. This new contribution uses the Geometric Deep Learning methods that recently appeared in computer vision.
Online Pressure and Drag prediction with GCNN.
Optimization of a foil with control points.
Optimization of a bicycle shell in 3D.
Optimization of a Foil in 3D.
Finding the most aerodynamic shape around a sphere.