Study Results from Shandong University Broaden Understanding of Machine Learning (Thermal Transport In Disordered Wurtzite Scaln Alloys Using Machine Learning I nteratomic Potentials)

Robotics & Machine Learning Daily News2024，Issue(Jul.8) ：118-118.

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Study Results from Shandong University Broaden Understanding of Machine Learning (Thermal Transport In Disordered Wurtzite Scaln Alloys Using Machine Learning I nteratomic Potentials)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Shandong,People’s Republic of China, by News Rx editors, research stated, “Disordered wurtzite ScAlN alloy is anemerging mat erial with a strong piezoelectric coefficient that promotes its application in 5 G communicationdevices. To extend the service lifetime of the device, it is an urgent task to understand the thermal transportproperties of this alloy for th ermal management.”

Key words

Shandong/People’s Republic of China/As ia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physics/Shandong University

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出版年

2024

Robotics & Machine Learning Daily News

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