Robotics & Machine Learning Daily News2024,Issue(Jun.17) :9-9.

Data on Machine Learning Described by Researchers at Xi’an Jiaotong University ( An investigation of self-interstitial diffusion in azirconium by an on-the-fly machine learning force field)

西安交通大学研究人员描述的机器学习数据(用动态机器学习力场研究azirconium中的自间隙扩散)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :9-9.

Data on Machine Learning Described by Researchers at Xi’an Jiaotong University ( An investigation of self-interstitial diffusion in azirconium by an on-the-fly machine learning force field)

西安交通大学研究人员描述的机器学习数据(用动态机器学习力场研究azirconium中的自间隙扩散)

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摘要

《机器人与机器学习日报》的一位新闻记者兼新闻编辑——关于人工智能的最新研究结果已经发表。根据NewsRx记者来自中国西安的新闻报道,研究表明,"基于高斯近似势和贝叶斯误差估计的动态机器学习力场方法用于研究自间隙原子在A锆中的扩散"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsreporting originating from Xi’ an, People’s Republic of China, by NewsRx correspondents, research stated,“The on-the-fly machine learning force field approach, based on the Gaussian approxim ation potential andBayesian error estimation, was used to study the diffusion of self-interstitial atoms in a-zirconium.”

Key words

Xi’an Jiaotong University/Xi’an/People ’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Transition Elements/Zirconium

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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