Recent Research from National Technological University Highlight Findings in Mac hine Learning (Machine-learning Assistant Dft Study of Half-metallic Full-heusle r Alloy N2cana: Structural, Electronic, Mechanical, and Thermodynamics ...)

国立理工大学最近的研究突出了Mac Hine学习的发现（机器学习辅助Dft研究半金属全heusle r合金N2cana：结构、电子、机械和热力学…）

Robotics & Machine Learning Daily News2024，Issue(Dec.2) ：158-159.

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NETL
NSTL

Recent Research from National Technological University Highlight Findings in Mac hine Learning (Machine-learning Assistant Dft Study of Half-metallic Full-heusle r Alloy N2cana: Structural, Electronic, Mechanical, and Thermodynamics ...)

国立理工大学最近的研究突出了Mac Hine学习的发现（机器学习辅助Dft研究半金属全heusle r合金N2cana：结构、电子、机械和热力学…）

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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在一份新的报告中介绍了机器学习的最新数据。根据新闻报道来自乌克兰哈尔科夫的新sRx记者的研究称，"我们研究了结构，密度f研究N2CaNa全Heusler合金的电子、机械和热力学性质功能理论(DFT)。结构分析的结果建立了结构稳定性的最小值29.9 eV的形成能量。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating in Kharkiv, Ukraine, by New sRx journalists, research stated, “We studied the structural,electronic, mechan ical, and thermodynamic properties of N2CaNa full Heusler alloys using density functional theory (DFT). Results for the structural analysis establish structural stability with a minimumformation energy of 29.9 eV.”

Key words

Kharkiv/Ukraine/Europe/Cyborgs/Emerg ing Technologies/Machine Learning/Physics/Thermodynamics/National Technologi cal University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航