A quantitative prediction of the viscosity of ionic liquids using Sσ-profilemolecular descriptors
Author:
Affiliation:
1. Beijing Key Laboratory of Ionic Liquids Clean Process
2. State Key Laboratory of Multiphase Complex Systems
3. Key Laboratory of Green Process and Engineering
4. Institute of Process Engineering
5. Chinese Academy of Sciences
Abstract
A QSPR study of ILs using MLR and SVM algorithms based on COSMO-RS molecular descriptors (Sσ-profile).
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2015/CP/C4CP04712E
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5. Viscosity of Ionic Liquids: An Extensive Database and a New Group Contribution Model Based on a Feed-Forward Artificial Neural Network
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