Robotics & Machine Learning Daily News2024,Issue(Nov.22) :8-8.

Researchers at University of Texas Austin Report New Data on Machine Learning (M achine Learning-accelerated Discovery of Iron Cobalt Phosphides As Rare-earth-fr ee Magnets)

德克萨斯大学奥斯汀分校的研究人员报告了机器学习的新数据(机器学习加速发现磷化铁钴作为稀土-Fr EE磁体)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :8-8.

Researchers at University of Texas Austin Report New Data on Machine Learning (M achine Learning-accelerated Discovery of Iron Cobalt Phosphides As Rare-earth-fr ee Magnets)

德克萨斯大学奥斯汀分校的研究人员报告了机器学习的新数据(机器学习加速发现磷化铁钴作为稀土-Fr EE磁体)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的最新研究结果已经发表。据新闻报道News Rx记者从德克萨斯州奥斯汀报道,研究称,“发现无稀土元素”几十年来,永久磁弹网一直是科学家的目标。稀土元素的缺乏将会缓解了人们对用于永磁体的稀土元素可用性的迫切担忧。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting from Austin, Texas, by News Rx journalists, research stated, “The discovery of rare-earth-freepermanent mag nets has been a goal of scientists for decades. The absence of rare-earth elemen ts willalleviate a pressing concern about the availability of rare-earth elemen ts used in permanent magnets.”

Key words

Austin/Texas/United States/North and Central America/Cobalt/Cyborgs/Emerging Technologies/Machine Learning/Trans ition Elements/University of Texas Austin

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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