首页|Data from Anhui University of Technology Provide New Insights into Machine Learn ing (Prediction of Electrochemical Properties of Lay- ni-based Hydrogen Storage Alloys Based On Machine Learning)
Data from Anhui University of Technology Provide New Insights into Machine Learn ing (Prediction of Electrochemical Properties of Lay- ni-based Hydrogen Storage Alloys Based On Machine Learning)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Anhui, People’s Republ ic of China, by NewsRx correspondents, research stated, “La-YNi-based hydrogen storage alloys, renowned for their high hydrogen capacity and chemical stability , showsignificant developmental potential. However, their development is heavil y reliant on extensive and costlyexperimental work.”
AnhuiPeople’s Republic of ChinaAsiaAlloysChemicalsCyborgsElectrochemicalsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningAnhui University of Tech nology