首页|Ministry of Education Reports Findings in Photocatalytics (Prediction of g-C3N4- based photocatalysts in tetracycline degradation based on machine learning)
Ministry of Education Reports Findings in Photocatalytics (Prediction of g-C3N4- based photocatalysts in tetracycline degradation based on machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Nanotechnology - Photocatalytics is the subject of a report. According to newsreporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated,“Investig ating the effects of g-CN-based photocatalysts on experimental parameters during tetracycline(TC) degradation can be helpful in discovering the optimal paramet er combinations to improve thedegradation efficiencies in general. Machine lear ning methods can avoid the problems of high cost, timeconsumingand possible in strumental errors in experimental methods, which have been proven to be aneffec tive alternative for evaluating the entire experimental process.”
WuhanPeople’s Republic of ChinaAsiaAntibioticsAromatic Polycyclic HydrocarbonsCyborgsEmerging TechnologiesHydrocarbonsMachine LearningNanotechnologyNaphthacenesPhotocatalystPho tocatalyticsTetracyclines
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