Robotics & Machine Learning Daily News2024,Issue(Nov.1) :101-102.

Recent Studies from Hunan University Add New Data to Machine Learning (The Predi ction of Donor Number and Acceptor Number of Electrolyte Solvent Molecules Based On Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :101-102.

Recent Studies from Hunan University Add New Data to Machine Learning (The Predi ction of Donor Number and Acceptor Number of Electrolyte Solvent Molecules Based On Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Hunan, People’s Repu blic of China, by NewsRx journalists, research stated, “Electrolyte solvents hav e a critical impact on the design of high performance and safe batteries. Gutman n’s donor number (DN) and acceptor number (AN) values are two important paramete rs to screen and design superior electrolyte solvents.” Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Hunan Province, Hunan Provincial Education Department, Postgraduate Scientific Research Innovation Project of Hunan Provinc e.

Key words

Hunan/People’s Republic of China/Asia/Cyborgs/Electrolytes/Emerging Technologies/Inorganic Chemicals/Machine Lear ning/Hunan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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