Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids
Author:
Affiliation:
1. College of Science Engineering and Health
2. RMIT University
3. Melbourne
4. Australia
5. School of Chemistry
6. University of New South Wales
7. Sydney
Abstract
Machine learning models were developed for an organic reaction in ionic liquids and validated on a selection of ionic liquids.
Funder
Australian Research Council
University of New South Wales
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2021/CP/D0CP04227G
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