Shape Optimisation using Geodesic Convolutional Networks

Feb 12, 2018

ICML 2018

Our ICML paper about our approach to Aerodynamic shape optimisation.

This new contribution using the Geometric Deep Learning methods, improves upon previously used Kriging-based surrogate models for CFD optimization.


Online Pressure and Drag prediction with GCNN.


Optimization of a foil with control points.


Optimization of a Foil in 3D.

Finding the most aerodynamic shape around a sphere.
About the author
Luca Zampieri
Luca joined the Application team in 2018, aiming to build the next generation Deep-Learning tool dedicated to CAD and CAE.
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Thomas von Tschammer
Thomas joined the team in 2018 as Director of Operations, aiming to empower engineers with next a next generation Deep-Learning tool dedicated to CAD and CAE.
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