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Search Results - kunihiko+taira
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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: 1/6/2025
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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