Robotics & Machine Learning Daily News2024,Issue(Dec.4) :192-193.

Investigators at Agency for Science Technology and Research (A*STAR) Detail Find ings in Machine Learning (Machine Learningassisted Bayesian Optimization for th e Discovery of Effective Additives for Dendrite Suppression In Lithium Metal … )

科学技术与研究机构(A*STAR)的研究人员详细发现了机器学习(机器学习辅助贝叶斯优化发现有效添加剂抑制锂金属枝晶生长…)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :192-193.

Investigators at Agency for Science Technology and Research (A*STAR) Detail Find ings in Machine Learning (Machine Learningassisted Bayesian Optimization for th e Discovery of Effective Additives for Dendrite Suppression In Lithium Metal … )

科学技术与研究机构(A*STAR)的研究人员详细发现了机器学习(机器学习辅助贝叶斯优化发现有效添加剂抑制锂金属枝晶生长…)

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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《新闻周刊》记者在新加坡Sin Gapore的报道中说,“为了追求提高金属锂(li)电池性能和安全性,发现高效电解液抑制锂树枝晶的添加剂已经成为最重要的目标。在本研究中,我们采用了一个确定树枝晶缓解潜在添加剂的逆向设计策略。

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 newsreporting originating in Singapore, Sin gapore, by NewsRx journalists, research stated, “In the pursuit ofenhancing the performance and safety of lithium (Li)-metal batteries, the discovery of effect ive electrolyteadditives to suppress Li dendrites has emerged as a paramount ob jective. In this study, we employ aninverse design strategy to identify potenti al additives for dendrite mitigation.”

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning/Agency for Science Technology and Research (A*STAR)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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