首页|Findings from Luoyang Normal University Broaden Understanding of Machine Learnin g (Machine Learning-assisted Property Prediction of Solid-state Electrolyte)
Findings from Luoyang Normal University Broaden Understanding of Machine Learnin g (Machine Learning-assisted Property Prediction of Solid-state Electrolyte)
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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 originating in Luoyang,Peopl e's Republic of China,by NewsRx journalists,research stated,"Machine learning (ML) exhibits substantial potential for predicting the properties of solid-stat e electrolytes (SSEs).By integrating experimental or/and simulation data within ML frameworks,the discovery and development of advanced SSEs can be accelerate d,ultimately facilitating their application in high-end energy storage systems." Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Program for Science & Technology Innovation Ta lents in Universities of Henan Province,Programs for Science and Technology Dev elopment of Henan Province,China,Natural Science Foundations of Henan Province,Key Scientific Research Projects of University in Henan Province,Shenzhen Tec hnical Plan Project.
LuoyangPeople's Republic of ChinaAsi aCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine Le arningLuoyang Normal University
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