An AI-enhanced multidisciplinary optimization framework for net-zero transport aircraft

At the AIAA Aviation Forum 2025, Andrés Mateo-Gabín (AIRBUS) presented the application of Generative AI techniques, including Denoising Diffusion Probabilistic Models, to optimize wing design parameters such as chord length, twist, and span. These advanced models delivered promising results, generating high-performing configurations that minimize wing and fuel mass while meeting aerodynamic targets. This integrated approach illustrates how AI-driven optimization can accelerate the development of next-generation Hybrid-Electric Regional Aircraft, reinforcing Europe’s commitment to sustainable aviation.