Robotics & Machine Learning Daily News2024,Issue(Nov.12) :1-2.

Investigators from University of Belgrade Report New Data on Machine Learning (R eview of Computational Advances In Tailoring Magnesium-hydrogen Interactions: At omistic Simulations Meet Machine Learning)

贝尔格莱德大学的研究人员报告了关于机器学习的新数据(在定制镁-氢相互作用的计算进展:omic模拟与机器学习相遇)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :1-2.

Investigators from University of Belgrade Report New Data on Machine Learning (R eview of Computational Advances In Tailoring Magnesium-hydrogen Interactions: At omistic Simulations Meet Machine Learning)

贝尔格莱德大学的研究人员报告了关于机器学习的新数据(在定制镁-氢相互作用的计算进展:omic模拟与机器学习相遇)

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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-研究人员详细介绍机器学习中的新数据。根据消息来源NewsRx Corres Pondents在塞尔维亚贝尔格莱德发表的研究报告称,“氢与氢之间的相互作用”镁在各种应用中都具有重要的意义,例如储氢、可再生能源等。光学装置和能量转换技术。本文对复杂的结构进行了深入的分析镁和氢之间的相互作用,突出原子模拟和最近机器学习技术的整合"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news originatingfrom Belgrade, Serbia, by NewsRx corres pondents, research stated, “The interaction between hydrogenand magnesium holds significant importance across various applications such as hydrogen storage, tu nableoptical devices and energy conversion technologies. This review provides a n indepth analysis of the intricateinteractions between magnesium and hydrogen, highlighting pivotal findings from atomistic simulations andrecent integration of machine learning techniques.”

Key words

Belgrade/Serbia/Europe/Cyborgs/Eleme nts/Emerging Technologies/Gases/Hydrogen/Inorganic Chemicals/Light Metals/Machine Learning/Magnesium/University of Belgrade

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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