Viscosity prediction of ionic liquids using NLR and SVM approaches

Journal of Molecular Liquids(2022)

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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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