Robotics & Machine Learning Daily News2024,Issue(Apr.25) :41-41.

Researchers’ Work from China University of Mining and Technology Focuses on Mach ine Learning (Machine Learning Prediction of Perovskite Sensors for Monitoring t he Gas In Lithium-ion Battery)

Robotics & Machine Learning Daily News2024,Issue(Apr.25) :41-41.

Researchers’ Work from China University of Mining and Technology Focuses on Mach ine Learning (Machine Learning Prediction of Perovskite Sensors for Monitoring t he Gas In Lithium-ion Battery)

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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 Jiangsu, People’s Rep ublic of China, by NewsRx journalists, research stated, “Roomtemperaturegas-se nsitive materials are urgently needed for lithium-ion battery monitoring to ensu re thesafety of battery. In this work, we proposed a strategy for predicting ga s-sensitive materials to sense gasin lithium-ion batteries by the combination o f machine learning and ab initio calculations.”

Key words

Jiangsu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/China University of Mining and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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