首页|Investigators at Huazhong University of Science and Technology Describe Findings in Machine Learning (Machine Learning Modeling of the Capacitive Performance of N-doped Porous Biochar Electrodes With Experimental Verification)
Investigators at Huazhong University of Science and Technology Describe Findings in Machine Learning (Machine Learning Modeling of the Capacitive Performance of N-doped Porous Biochar Electrodes With Experimental Verification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Wuhan, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “N-doped por ous biochar is considered as a promising carbon material for supercapacitor electrodes application. However, the intrinsic relations and effect mechanisms of th e pore structure and Ndopingto the capacitive performance are still inscrutabl e, giving rise to the challenges for enhancing thecapacitive performance by reg ulating the physicochemical properties of N-doped biochar.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHuazhong University of Scienc e and Technology