Robotics & Machine Learning Daily News2024,Issue(Oct.23) :75-76.

Researchers from Tsinghua University Provide Details of New Studies and Findings in the Area of Machine Learning (Temperature Excavation To Boost Machine Learni ng Battery Thermochemical Predictions)

Robotics & Machine Learning Daily News2024,Issue(Oct.23) :75-76.

Researchers from Tsinghua University Provide Details of New Studies and Findings in the Area of Machine Learning (Temperature Excavation To Boost Machine Learni ng Battery Thermochemical Predictions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Advancing batt ery technologies requires precise predictions of thermochemical reactions among multiple components to efficiently exploit the stored energy and conduct thermal management. Recently, machine learning (ML) promised to address this complex th ermochemical prediction task; however, it failed due to the huge gap between hig h problem complexity and extremely limited experimental data available for model training.”

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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