Robotics & Machine Learning Daily News2024,Issue(MAY.22) :42-43.

Reports Outline Machine Learning Findings from Chinese Academy of Sciences (Impa ct of Structural Characteristics On Thermal Conductivity of Foam Structures Reve aled With Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :42-43.

Reports Outline Machine Learning Findings from Chinese Academy of Sciences (Impa ct of Structural Characteristics On Thermal Conductivity of Foam Structures Reve aled With Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Shenzhen, People’s Republic o f China, by NewsRx journalists, research stated, “The foam-like structures have been shown to facilitate thermal transport efficiency by forming 3D-network heat conduction pathways, which shows broad applications in thermal management. Howe ver, the design of foam structures with desired thermal transport property is tr icky because of the complexity of the structures and their relationship with the property.”

Key words

Shenzhen/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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