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Aerodynamics-Informed Design Optimization of Vehicles with Machine Learning (Case No. 2025-083)

Intro Sentence: UCLA researchers from the Department of Mechanical and Aerospace Engineering have developed a machine-learning–guided aerodynamic optimization framework that accelerates the design of electric vehicles by coupling high-fidelity simulations with data-driven shape prediction. Background: Electric vehicle (EV) technologies have...

Published: 11/5/2025 | Inventor(s): Kunihiko Taira, Jonathan Tran, Kai Fukami, Daisuke Umehara, Kenta Inada, Yoshimichi Ono, Kenta Ogawa

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Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Materials, Materials > Functional Materials, Energy & Environment