Robotics & Machine Learning Daily News2024,Issue(Jun.26) :34-35.

Findings on Machine Learning Detailed by Investigators at IMDEA Materials Instit ute (A Novel Benchmarking Approach To Assess Fire Safety of Liquid Electrolytes In Lithium-ion Batteries)

IMDEA Material Institute(一种评估锂离子电池液体电解质消防安全的新基准方法)调查员详细介绍的机器学习发现

Robotics & Machine Learning Daily News2024,Issue(Jun.26) :34-35.

Findings on Machine Learning Detailed by Investigators at IMDEA Materials Instit ute (A Novel Benchmarking Approach To Assess Fire Safety of Liquid Electrolytes In Lithium-ion Batteries)

IMDEA Material Institute(一种评估锂离子电池液体电解质消防安全的新基准方法)调查员详细介绍的机器学习发现

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据NewsRx Jour Nalists在西班牙马德里的新闻报道,研究表明:“在实验室层面建立权威的电解质安全评估方法对于解决锂离子电池热失控的冲突至关重要。然而,自熄时间(SET)作为目前最广泛使用的评估方法,缺乏基准,严重依赖测试程序的具体实施。”本研究的资助者包括中国奖学金委员会,BIOFIRESAFE项目-西班牙Ministerio De Ciencia E Innovacion(MINECO)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting from Madrid, Spain, by NewsRx jour nalists, research stated, "Establishing authoritative electrolyte safety assessm ent methods at laboratory levels is crucial for addressing conflicts from therma l runaway of lithiumion batteries. However, self-extinguishing time (SET), as t he most widely used evaluation method now, lacks benchmarks and heavily relies o n the specific implementation of test procedures." Funders for this research include China Scholarship Council, BIOFIRESAFE Project-Ministerio De Ciencia E Innovacion (MINECO), Spain.

Key words

Madrid/Spain/Europe/Cyborgs/Electrol ytes/Emerging Technologies/Inorganic Chemicals/Machine Learning/IMDEA Materi als Institute

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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