Search Results - kai+fukami

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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

Keywords(s):

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

Aerodynamics-Guided Machine Learning for Design Optimization of Vehicles (Case No. 2024-221)

Summary: UCLA researchers have developed a computational method to rapidly generate vehicle designs with maximum aerodynamic efficiency. Background: The global shift towards electric vehicles (EVs) has opened new opportunities in automobile design with stylistic and functional benefits. Unlike combustion engine vehicles, EVs lack a large engine...

Published: 5/1/2025 | Inventor(s): Kunihiko Taira, Jonathan Tran, Kai Fukami

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > Programs, Materials, Materials > Functional Materials, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Statistical Models