Statistical models are able to predict ionic liquid viscosity across a wide range of chemical functionalities and experimental conditions-Reference-Cited by-同舟云学术

Statistical models are able to predict ionic liquid viscosity across a wide range of chemical functionalities and experimental conditions

Published:2018 Issue:1 Volume:3 Page:253-263
ISSN:2058-9689
Container-title:Molecular Systems Design & Engineering
language:en
Short-container-title:Mol. Syst. Des. Eng.

Author:

Beckner Wesley¹²³⁴,Mao Coco M.¹²³⁴,Pfaendtner Jim¹²³⁴⁵^ORCID

Affiliation:

1. Department of Chemical Engineering

2. University of Washington

3. Seattle

4. USA

5. Senior Scientist

Abstract

Herein we present a method of developing predictive models of viscosity for ionic liquids (ILs) using publicly available data in the ILThermo database and the open-source software toolkits PyChem, RDKit, and SciKit-Learn.

Funder

Division of Graduate Education

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomedical Engineering,Chemical Engineering (miscellaneous),Chemistry (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2018/ME/C7ME00094D

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