首页|Study Results from Shandong University Broaden Understanding of Machine Learning (Thermal Transport In Disordered Wurtzite Scaln Alloys Using Machine Learning I nteratomic Potentials)
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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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.”
ShandongPeople’s Republic of ChinaAs iaAlloysCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysicsShandong University
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