Researcher’s Work from University of Science and Technology Beijing Focuses on M achine Learning [Prospective on applying machine learning in computational fluid dynamics (CFD) simulation of metallurgical reactors]

Robotics & Machine Learning Daily News2024，Issue(Oct.1) ：26-26.

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Researcher’s Work from University of Science and Technology Beijing Focuses on M achine Learning [Prospective on applying machine learning in computational fluid dynamics (CFD) simulation of metallurgical reactors]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Beijing, Peop le’s Republic of China, by NewsRx journalists, research stated, “Metallurgical r eactors, especially in ironmaking/steelmaking process, characterise with high-te mperature turbulence, multiphase flow, mass/heat transfer and reactions.” Funders for this research include National Natural Science Foundation of China.

Key words

University of Science and Technology Bei jing/Beijing/People’s Republic of China/Asia/Computational Fluid Dynamics/C yborgs/Emerging Technologies/Fluid Mechanics/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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