首页|Researchers from Jianghan University Report Recent Findings in Machine Learning (Machine Learning-based Prediction of Supercapacitor Capacitance for Mgco2o4 Ele ctrodes)
Researchers from Jianghan University Report Recent Findings in Machine Learning (Machine Learning-based Prediction of Supercapacitor Capacitance for Mgco2o4 Ele ctrodes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Data detailed on Machine Learning have been presented. According to news reportingoriginating from Hubei, People's Re public of China, by NewsRx correspondents, research stated, "Electrodematerials are essential in the electrochemical process of storing charge in supercapacito rs and have asignificant impact on the cost and capacitive performance of the f inal product. Hence, it is imperative tomake precise predictions regarding the capacitance of electrode materials in order to further the developmentof superc apacitors."Funders for this research include Excellent Discipline Cultivation Project by JH UN, Excellent DisciplineCultivation Project.
HubeiPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningJianghan University
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