Robotics & Machine Learning Daily News2024,Issue(Nov.13) :66-66.

Ningxia University Reports Findings in Machine Learning (Machine Learning Accele rated Discovery of Entropy-Stabilized Oxide Catalysts for Catalytic Oxidation)

宁夏大学发表机器学习研究报告(机器学习加速了催化氧化熵稳定氧化物催化剂的发现)

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :66-66.

Ningxia University Reports Findings in Machine Learning (Machine Learning Accele rated Discovery of Entropy-Stabilized Oxide Catalysts for Catalytic Oxidation)

宁夏大学发表机器学习研究报告(机器学习加速了催化氧化熵稳定氧化物催化剂的发现)

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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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者从中国银川报道,研究称,"一元到三元金属氧化物的催化性能已经得到了很好的实验探索,而剩余的研究成果则是空间似乎只是高熵金属氧化物(HEOs,元素类型5)。然而,无数的元素成分使得发现HEO催化剂的反复试验的方法不可能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Yinchuan, People’s Repub lic of China, by NewsRx journalists, research stated, “Thecatalytic properties of unary to ternary metal oxides were already well experimentally explored, and the leftspace seems like only high entropy metal oxides (HEOs, element types 5) . However, the countless elementcompositions make the trial-and-error method of discovering HEO catalysts impossible.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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