Viscosity prediction of ionic liquids using NLR and SVM approaches
Journal of Molecular Liquids(2022)
Abstract
•A comprehensive database containing 15,251 data points for 1654 different ILs was compiled.•Two group contribution models, NLR-model and SVM-model, were developed.•A new group contribution scheme with two types of groups was proposed.•The performance of the SVM-model is better than both the NLR-model and those in the literature.•The proposed models were implemented as a simple MS Excel-based computer tool.
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Key words
Ionic liquid,Viscosity,Group contribution,Machine learning,Support vector machine,Non-linear regression
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