Robotics & Machine Learning Daily News2024,Issue(Nov.28) :154-155.

Findings on Machine Learning Discussed by Investigators at Shanghai University [Optical and Electronic Properties of Renio3 Doped With Alkali Earth Metals (Be, Mg, Ca, Sr and Ba): Combining First Principles Calculations and Machine Learning ]

上海研究者讨论机器学习的发现掺杂Renio3的大学[光电性质与碱土金属(Be、Mg、Ca、Sr和Ba):首先结合原理计算和机器学习

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :154-155.

Findings on Machine Learning Discussed by Investigators at Shanghai University [Optical and Electronic Properties of Renio3 Doped With Alkali Earth Metals (Be, Mg, Ca, Sr and Ba): Combining First Principles Calculations and Machine Learning ]

上海研究者讨论机器学习的发现掺杂Renio3的大学[光电性质与碱土金属(Be、Mg、Ca、Sr和Ba):首先结合原理计算和机器学习

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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-机器学习的最新研究结果已经发表。据新闻报道《中国人民日报》上海报道,NewsRx编辑,研究称,“钙钛矿”稀土镍酸盐(RENiO3)由于其独特的ph物理性质而受到广泛关注具有广阔的应用前景。据报道,引入H或Li可能会改变F RENiO3的电子和光学性质"。

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 out of Shanghai, People’s R epublic of China, by NewsRx editors, research stated, “The perovskiterare earth nickelate (RENiO3) has attracted significant attention owing to its peculiar ph ysical propertiesand promising potential for diverse applications. It is report ed that introducing H or Li might change theelectronic and optical properties o f RENiO3.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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