Robotics & Machine Learning Daily News2024,Issue(Aug.26) :52-53.

Studies from China University of Mining and Technology in the Area of Machine Le arning Reported (Rapid Discovery of Gas Response In Materials Via Density Functi onal Theory and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.26) :52-53.

Studies from China University of Mining and Technology in the Area of Machine Le arning Reported (Rapid Discovery of Gas Response In Materials Via Density Functi onal Theory and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Xuzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “In thisstudy, a framewo rk for predicting the gas-sensitive properties of gas-sensitive materials by com biningmachine learning and density functional theory (DFT) has been proposed. T he framework rapidly predictsthe gas response of materials by establishing rela tionships between multisource physical parameters andgas-sensitive properties.”

Key words

Xuzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/China University of Mining a nd Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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