首页|Recent Research from Laboratory for Organic Chemistry Highlight Findings in Mach ine Learning (Machine Learning Coupled With Group Contribution for Predicting the Electrical Conductivity of Ionic Liquids Withexperimental Accuracy)
Recent Research from Laboratory for Organic Chemistry Highlight Findings in Mach ine Learning (Machine Learning Coupled With Group Contribution for Predicting the Electrical Conductivity of Ionic Liquids Withexperimental Accuracy)
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 Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting originating in Mascara, Alger ia, by NewsRx journalists, research stated, “Accurate prediction of the electric al conductivity of ionic liquids (ILs) is crucial for their efficient design and application in various fields. In this study, new group contribution (GC) metho d is proposed for the prediction of the electrical conductivity of pure ILs as a function of temperature (T) and pressure (p).”
MascaraAlgeriaCyborgsEmerging Tech nologiesIonic LiquidsMachine LearningSolventsLaboratory for Organic Chem istry