首页|Recent Studies from Hunan University Add New Data to Machine Learning (The Predi ction of Donor Number and Acceptor Number of Electrolyte Solvent Molecules Based On Machine Learning)
Recent Studies from Hunan University Add New Data to Machine Learning (The Predi ction of Donor Number and Acceptor Number of Electrolyte Solvent Molecules Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Hunan, People’s Repu blic of China, by NewsRx journalists, research stated, “Electrolyte solvents hav e a critical impact on the design of high performance and safe batteries. Gutman n’s donor number (DN) and acceptor number (AN) values are two important paramete rs to screen and design superior electrolyte solvents.” Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Hunan Province, Hunan Provincial Education Department, Postgraduate Scientific Research Innovation Project of Hunan Provinc e.
HunanPeople’s Republic of ChinaAsiaCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine Lear ningHunan University
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