Robotics & Machine Learning Daily News2024,Issue(Nov.26) :25-25.

Findings from Shanghai University Provide New Insights into Machine Learning (On -the-fly Machine Learning Force Field Study of Liquid-al/a-al2o3 Interface)

上海大学的研究成果为机器学习提供了新的见解(液态al/a-a_2o_3界面动态机器学习力场研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :25-25.

Findings from Shanghai University Provide New Insights into Machine Learning (On -the-fly Machine Learning Force Field Study of Liquid-al/a-al2o3 Interface)

上海大学的研究成果为机器学习提供了新的见解(液态al/a-a_2o_3界面动态机器学习力场研究)

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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-关于机器学习的详细数据已经呈现。根据新闻报道由NewsRx记者发起的中国人民共和国上海的研究称,“原子能”基于n-the-fly机器学习的al/α-Al2O3液体界面结构基于第一性原理计算的力场。我们发现三个不同的终端表面液态al/α-Al2O3{0 0 1}体系具有相同的界面特性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “The atomicstructure of the liquid Al/& alpha;-Al2O3 interface was investigated using o n-the-fly machine learningforce field based on first-principles calculations. W e found that three different terminal surfaces of theliquid Al/ & alpha;-Al2O3{0 0 0 1} systems exhibited the same interfacial char acteristics.”

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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