Robotics & Machine Learning Daily News2024,Issue(Sep.6) :18-18.

New Machine Learning Study Findings Have Been Reported by Investigators at Chong qing University (Electrical Conductivity of Binary Magnesium Alloys: Integrating First-principles and Machine Learning Studies)

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :18-18.

New Machine Learning Study Findings Have Been Reported by Investigators at Chong qing University (Electrical Conductivity of Binary Magnesium Alloys: Integrating First-principles and Machine Learning Studies)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on Machine Learning is th e subject of a report. According to newsreporting out of Chongqing, People’s Re public of China, by NewsRx editors, research stated, “The electricalconductivit y is the fundamental physical property of Mg alloys and the basic information fo r the design ofcomprehensive high-performance Mg alloys. In this work, the elec trical conductivity of 29 Mg-based binaryalloys has been calculated using the f irst-principles methods and the main factors have been analyzed bymachine learning.”

Key words

Chongqing/People’s Republic of China/A sia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Chongqing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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