首页|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)

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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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.”

XuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChina University of Mining a nd Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.26)