Robotics & Machine Learning Daily News2024,Issue(Nov.28) :13-14.

Recent Findings in Machine Learning Described by Researchers from University of Stuttgart (Origin of the Yield Stress Anomaly In L12 2 Intermetallics Unveiled W ith Physically Informed Machine-learning Potentials)

最近的机器学习发现由来自美国的研究人员描述斯图加特大学(图122屈服应力异常的起源金属间化合物推出物理信息机器学习潜力

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :13-14.

Recent Findings in Machine Learning Described by Researchers from University of Stuttgart (Origin of the Yield Stress Anomaly In L12 2 Intermetallics Unveiled W ith Physically Informed Machine-learning Potentials)

最近的机器学习发现由来自美国的研究人员描述斯图加特大学(图122屈服应力异常的起源金属间化合物推出物理信息机器学习潜力

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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-机器学习的新数据在一份新的报告中呈现。据新闻报道德国斯图加特,BY NewsRx编辑,Research报道,“12年的屈服应力异常”Ni3Al、3 Al、Ni3Ga、3 Ga、Co3(Al,W)3(Al,W)等2种金属间集成电路由所谓的kear-(KWL)型Wilsdorf锁的形成和解锁是由位错交叉滑移引起的。尽管这种反常行为在12 2强化合金中的重要性,微观上对这种异常行为的理解KWL有限。 ”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Stuttgart, Germany, b y NewsRx editors, research stated, “The yield stress anomaly of L122 intermetal lics such as Ni3Al, 3 Al, Ni3Ga, 3 Ga, Co3(Al,W) 3 (Al,W) is controlled by the s o-called Kear-Wilsdorf lock (KWL), of which the formation and unlocking are gove rned by dislocation cross-slip. Despitethe importance of this anomalous behavio r in L12 2-strengthened alloys, microscopic understanding of theKWL is limited. ”

Key words

Stuttgart/Germany/Europe/Cyborgs/Eme rging Technologies/Machine Learning/University of Stuttgart

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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