Robotics & Machine Learning Daily News2024,Issue(MAY.1) :12-13.

Findings on Machine Learning Detailed by Investigators at Fudan University (Mach ine-learning Assisted High-throughput Discovery of Solid-state Electrolytes for Li-ion Batteries)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :12-13.

Findings on Machine Learning Detailed by Investigators at Fudan University (Mach ine-learning Assisted High-throughput Discovery of Solid-state Electrolytes for Li-ion Batteries)

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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 newsoriginating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thedevelopment of h igh-performance solid-state lithium-ion batteries (LIBs) requires designing soli d-stateelectrolytes (SEs) with high ionic conductivity and excellent electroche mical stability. Here, we report 130novel materials as promising SEs, identifie d through large-scale high-throughput calculations.”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Electrolytes/Emerging Technologies/Inorganic Chemicals/Machine L earning/Fudan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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