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Oliver Coborn

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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

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