Robotics & Machine Learning Daily News2024,Issue(Jul.5) :32-33.

New Machine Learning Findings from Renmin University of China Discussed (Machine Learning Models Accelerate Deep Eutectic Solvent Discovery for the Recycling of Lithium-ion Battery Cathodes)

Robotics & Machine Learning Daily News2024,Issue(Jul.5) :32-33.

New Machine Learning Findings from Renmin University of China Discussed (Machine Learning Models Accelerate Deep Eutectic Solvent Discovery for the Recycling of Lithium-ion Battery Cathodes)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “Deep eutecticsolvents (DESs) have been widely applied to recover spent lithium-ion batteries (LIBs); h owever, developingeffective and efficient systems for cathode leaching via the traditional trial-and-error method requiressubstantial efforts. This work aims to accelerate the discovery of novel promising DESs by leveraging theconditiona l Generative Adversarial Network (CGAN).”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Renmin University of China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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