Robotics & Machine Learning Daily News2024,Issue(MAY.1) :117-117.

Researchers at University of Science and Technology of China Publish New Study F indings on Artificial Intelligence (Artificial intelligence for the understandin g of electrolyte chemistry and electrode interface in lithium battery)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :117-117.

Researchers at University of Science and Technology of China Publish New Study F indings on Artificial Intelligence (Artificial intelligence for the understandin g of electrolyte chemistry and electrode interface in lithium battery)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews originating from the Uni versity of Science and Technology of China by NewsRx editors, the researchstate d, “Recognizing the critical role of electrolyte chemistry and electrode interfa ces in the performanceand safety of lithium batteries, along with the urgent ne ed for more sophisticated methods of analysis, thiscomprehensive review undersc ores the promise of machine learning (ML) models in this research field.”

Key words

University of Science and Technology of China/Artificial Intelligence/Chemistry/Electrolytes/Emerging Technologies/Inorganic Chemicals/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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