首页|Study Results from North China Electric Power University Broaden Understanding of Machine Learning (Machine Learning and Shapley Additive Explanation-based Interpretable Prediction of the Electrocatalytic Performance of N-doped Carbon Materials)
Study Results from North China Electric Power University Broaden Understanding of Machine Learning (Machine Learning and Shapley Additive Explanation-based Interpretable Prediction of the Electrocatalytic Performance of N-doped Carbon Materials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating in Hebei, People’s Republic of China, by NewsRx editors, the research stated, “Enhancing thekinetic rate of cathodic oxygen reduction reaction (ORR) by catalysts is the key to improve the performance of microbial fuel cells (MFCs). Metal-free ORR catalysts represented by nitrogen-doped carbon materialshave been extensively investigated and have shown excellent catalytic effects for oxygen reduction reaction.”
HebeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNitrogenNorth China Electric Power University
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