Robotics & Machine Learning Daily News2024,Issue(Nov.28) :164-165.

Reports from Nippon Steel Corporation Highlight Recent Research in Machine Learn ing (Machine learning interatomic potential with DFT accuracy for general grain boundaries in a-Fe)

新日铁的报告突出了最近的研究在机器学习ing(机器学习原子间势α-fe中一般晶界的密度泛函理论精度

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :164-165.

Reports from Nippon Steel Corporation Highlight Recent Research in Machine Learn ing (Machine learning interatomic potential with DFT accuracy for general grain boundaries in a-Fe)

新日铁的报告突出了最近的研究在机器学习ing(机器学习原子间势α-fe中一般晶界的密度泛函理论精度

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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新闻-关于人工智能的新研究结果已经发表。根据新闻报道由NewsRx记者发起的新日铁C公司的研究表明,“为了推进”高强度多晶金属材料朝着碳氮平衡方向发展,必须设计其中原子级控制一般晶界(GGBs)的材料,它支配着材料的性质,是AC Hieved。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news reportingoriginating from the Nippon Steel C orporation by NewsRx correspondents, research stated, “To advancethe developmen t of high-strength polycrystalline metallic materials towards achieving carbon n eutrality,it is essential to design materials in which the atomic level control of general grain boundaries (GGBs),which govern the material properties, is ac hieved.”

Key words

Nippon Steel Corporation/Business/Cybo rgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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