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We developed an AI method to design better airplane wings by focusing on real flight needs like fuel efficiency and stability instead of just wing shapes. Our approach helps AI learn faster and more accurately to translate desired performance into optimal wing designs, significantly improving the development process for passenger jets.

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This page is a summary of: Performance-Oriented Supercritical Airfoil Sampling Method for Deep Learning and Geometry Predictions, Journal of Aircraft, May 2026, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.c038652.
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