Reports on Machine Learning Findings from Beijing Institute of Technology Provid e New Insights (Ab Initio Design of Ni-rich Cathode Material With Assistance of Machine Learning for High Energy Lithium-ion Batteries)

Robotics & Machine Learning Daily News2024，Issue(MAY.31) ：28-28.

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Reports on Machine Learning Findings from Beijing Institute of Technology Provid e New Insights (Ab Initio Design of Ni-rich Cathode Material With Assistance of Machine Learning for High Energy Lithium-ion Batteries)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Beijing, People’s Republ ic of China, by NewsRx correspondents, research stated, “With the widespread use of lithium-ion batteries in electric vehicles, energy storage, and mobile termi nals, there is an urgent need to develop cathode materials with specific propert ies. However, existing material control synthesis routes based on repetitive exp eriments are often costly and inefficient, which is unsuitable for the broader a pplication of novel materials.” Financial support for this research came from National Natural Science Foundatio n of China.

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Beijing Institute of Techno logy

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2024

Robotics & Machine Learning Daily News

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