首页|Reports from Chongqing University Highlight Recent Findings in Machine Learning (Using Cfd and Machine Learning To Explore Chaotic Mixing In Laminar Diameter-tr ansformed Stirred Tanks)
Reports from Chongqing University Highlight Recent Findings in Machine Learning (Using Cfd and Machine Learning To Explore Chaotic Mixing In Laminar Diameter-tr ansformed Stirred Tanks)
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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 Chongqing, P eople’s Republic of China, by NewsRx journalists, research stated, “Elimination of segregated zones is important to intensify the global chaotic mixing of high- viscosity fluids. Diameter-transformed stirred tank (DTST) reactor as a new proc ess-intensification equipment is proposed.” Funders for this research include National Key Research & Developm ent Program of China, Graduate Research and Innovation Foundation of Chongqing, Fundamental Research Funds for the Central Universities.
ChongqingPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningChongqing University
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