首页|East China Normal University Reports Findings in Machine Learning (Machine Learn ing-Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Ca pacitive Deionization)
East China Normal University Reports Findings in Machine Learning (Machine Learn ing-Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Ca pacitive Deionization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Shanghai, People’s Rep ublic of China, by NewsRx editors, research stated, “Nowadays, capacitive deioni zation (CDI) has emerged as a prominent technology in the desalination field, ty pically utilizing porous carbons as electrodes. However, the precise significanc e of electrode properties and operational conditions in shaping desalination per formance remains blurry, necessitating numerous timeconsuming and resource-inte nsive CDI experiments.” Financial supporters for this research include National Natural Science Foundati on of China, Natural Science Foundation of Shandong Province.
ShanghaiPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningTechnology
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