Robotics & Machine Learning Daily News2024,Issue(Feb.19) :12-12.DOI:10.1038/s41467-024-45394-w

Chengdu University Reports Findings in Machine Learning (Capacitive tendency concept alongside supervised machine-learning toward classifying electrochemical behavior of battery and pseudocapacitor materials)

Robotics & Machine Learning Daily News2024,Issue(Feb.19) :12-12.DOI:10.1038/s41467-024-45394-w

Chengdu University Reports Findings in Machine Learning (Capacitive tendency concept alongside supervised machine-learning toward classifying electrochemical behavior of battery and pseudocapacitor materials)

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Abstract

New research on Machine Learning is the subject of a report. According to news reporting originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “In recent decades, more than 100,000 scientific articles have been devoted to the development of electrode materials for supercapacitors and batteries. However, there is still intense debate surrounding the criteria for determining the electrochemical behavior involved in Faradaic reactions, as the issue is often complicated by the electrochemical signals produced by various electrode materials and their different physicochemical properties.”

Key words

Chengdu/People’s Republic of China/Asia/Chemicals/Cyborgs/Electrochemicals/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量3
参考文献量49
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