Robotics & Machine Learning Daily News2024,Issue(Jun.4) :69-70.

Findings from Silesian University of Technology Provides New Data about Machine Learning (Alloymanufacturingnet for Discovery and Design of Hardness-elongation Synergy In Multi-principal Element Alloys)

西里西亚理工大学的发现提供了关于机器学习的新数据(Alloymanufacturingnet用于发现和设计多元元素合金的硬度-延伸协同作用)

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :69-70.

Findings from Silesian University of Technology Provides New Data about Machine Learning (Alloymanufacturingnet for Discovery and Design of Hardness-elongation Synergy In Multi-principal Element Alloys)

西里西亚理工大学的发现提供了关于机器学习的新数据(Alloymanufacturingnet用于发现和设计多元元素合金的硬度-延伸协同作用)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器学习的新发现。根据来自波兰Gliwice的新闻,由NewsRx通讯员报道,研究表明:“位于多组分pH空间中心的多主元素合金(MPEAs),其特征在于具有独特的物理化学性质的混合物,并且具有良好的硬度-塑性协同效应的表现。”并测定硬度和伸长率的MEA N值分别为495.3 HV和22.16%。这项研究的财政支持者包括波兰国家科学中心、印度大学赠款委员会、欧洲研究理事会(ERC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Gliwice, Poland, by NewsRx correspondents, research stated, “Located around the center of multicomponent ph ase space, multi -principal element alloys (MPEAs) are often characterized with a unique blend of contrasting physico-chemical properties, and have a good prosp ective of presenting hardness -ductility synergy. A datasets of MPEAs fabricated by casting, wrought, sintering, annealing procedures, was collected and the mea n values for hardness and elongation was determined as 495.3 HV and 22.16 % respectively.” Financial supporters for this research include National Science Centre, Poland, University Grants Commission, India, European Research Council (ERC).

Key words

Gliwice/Poland/Europe/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Silesian University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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