首页|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)

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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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.”

JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina University of Mining and Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.25)