Estimation of viscosities of pure ionic liquids using an artificial neural network based on only structural characteristics

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• 作者：Mohammad-Reza Fatehi ; Sona Raeissi ; ^{raeissi@shirazu.ac.ir} ; Dariush Mowla
• 关键词：Ionic liquid ; Viscosity ; Physical property ; Transport property ; Group contribution ; Estimation
• 刊名：Journal of Molecular Liquids
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：227
• 期：Complete
• 页码：309-317
• 全文大小：594 K
• 卷排序：227

文摘

A feedforward neural network (ANN) was established to estimate the viscosity of six different families of pure ionic liquids. The model was correlated and examined successfully over the temperature range of (273.15 to 393.15) K. The model is capable to estimate the viscosity of ionic liquids over the pressure range of (0.1 to 150) MPa. The presented ANN model does not require any experimental properties of the ionic liquid as input variables.