Robotics & Machine Learning Daily News2024,Issue(Nov.14) :90-90.

Shanghai Jiao Tong University Reports Findings in Machine Learning (Machine lear ning-based design of electrocatalytic materials towards high-energy lithium||sul fur batteries development)

上海交通大学发表机器学习研究成果(基于机器学习的高能锂电催化材料设计||sul毛皮电池开发)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :90-90.

Shanghai Jiao Tong University Reports Findings in Machine Learning (Machine lear ning-based design of electrocatalytic materials towards high-energy lithium||sul fur batteries development)

上海交通大学发表机器学习研究成果(基于机器学习的高能锂电催化材料设计||sul毛皮电池开发)

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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。据新闻报道来自中国人民代表大会上海,由NewsRx记者报道,研究称:“多硫化物腐蚀动力学缓慢阻碍了锂硫电池的实际发展循环过程中的反应。为了克服这一限制,研究人员建议使用过渡金属基硫基正极中的电催化材料》。

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 newsoriginating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thepractical develo pment of Li | |S batteries is hindered by the slow kinetics of polysulfides conv ersionreactions during cycling. To circumvent this limitation, researchers sugg ested the use of transition metalbasedelectrocatalytic materials in the sulfur -based positive electrode.”

Key words

Shanghai/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

ISSN:
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