Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Aerodynamic Design Optimisation Through Machine Learning—GCAG-VAEGAN

This paper presents, as a proof-of-concept, a novel geometrically constrained, aerodynamics-guided variational autoencoder generative adversarial network (GCAG-VAEGAN) framework for aerofoil design, aimed at improving the aerodynamic feasibility and numerical stability of generative aerofoils. This architecture enabled...

Oliver Coborn, Yu Zhang · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.