Controlling the outcome of SN2 reactions in ionic liquids: from rational data set design to predictive linear regression models
Author:
Affiliation:
1. Department of Chemical and Environmental Engineering
2. University of Nottingham
3. Nottingham NG7 2RD
4. UK
5. School of Chemistry
6. University of New South Wales
7. UNSW Sydney
8. Australia
9. School of Chemical Engineering
Abstract
An iterative, combined experimental and computational approach towards predicting reaction rate constants in ionic liquids is presented.
Funder
Biotechnology and Biological Sciences Research Council
Australian Research Council
University of Nottingham
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2020/CP/D0CP04224B
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3. Ionic liquid solvents: the importance of microscopic interactions in predicting organic reaction outcomes
4. S. T. Keaveney , R. S.Haines and J. B.Harper , in Encyclopedia of Physical Organic Chemistry , ed. U. Wille , Wiley , 2017 , ch. 27, vol. 2
5. D. R. MacFarlane , M.Kar and J. M.Pringle , Fundamentals of Ionic Liquids , Wiley-VCH , Weinheim, Germany , 2017
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