Robotics & Machine Learning Daily News2024,Issue(Apr.29) :27-28.

Jiangsu University of Science and Technology Researcher Publishes New Data on Ma chine Learning (Predicting thermal transport properties in phononic crystals via machine learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.29) :27-28.

Jiangsu University of Science and Technology Researcher Publishes New Data on Ma chine Learning (Predicting thermal transport properties in phononic crystals via machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews originating from Zhenjia ng, People’s Republic of China, by NewsRx correspondents, research stated,“Alth ough anisotropic phononic crystals (PnCs) could be utilized to control the phono n dispersions andthermal transports, rapidly discovering their properties prese nts a significant challenge due to the enormousconsumption of traditional compu tational methods.”

Key words

Jiangsu University of Science and Techno logy/Zhenjiang/People’s Republic of China/Asia/Cyborgs/Emerging Technologie s/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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