首页|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]
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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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.
University of Science and Technology Bei jingBeijingPeople’s Republic of ChinaAsiaComputational Fluid DynamicsC yborgsEmerging TechnologiesFluid MechanicsMachine Learning
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