Issue 33, 2008
From the journal:

Physical Chemistry Chemical Physics

Estimation of ternary liquid–liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks†

José S. Torrecilla,*a   Maggel Deetlefs,b   Kenneth R. Seddonb  and  Francisco Rodrígueza  

* Corresponding authors

a Department of Chemical Engineering, Faculty of Chemistry, Complutense University of Madrid, Madrid, Spain
E-mail: jstorre@quim.ucm.es
Fax: +34 91 394 42 43
Tel: +34 91 394 42 40

b The QUILL Research Centre, The Queen’s University of Belfast, Belfast, UK
E-mail: m.deetlefs@qub.ac.uk
Fax: +44 (0) 28 9066 1462
Tel: +44 (0) 28 9097 5420

Abstract

Neural network models have been explored for the prediction of the liquid–liquid equilibrium data and aromatic/aliphatic selectivity values. Four ternary systems composed of toluene, heptane, and the ionic liquids 1-ethyl-3-methylimidazolium ethylsulfate, or 1,3-dimethylimidazolium methylsulfate were investigated at 313.2 and 348.2 K.

Graphical abstract: Estimation of ternary liquid–liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks

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Article information

DOI
https://doi.org/10.1039/B719533H
Article type
Paper
Submitted
18 Dec 2007
Accepted
09 May 2008
First published
19 Jun 2008

Phys. Chem. Chem. Phys., 2008,10, 5114-5120

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Estimation of ternary liquid–liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks

J. S. Torrecilla, M. Deetlefs, K. R. Seddon and F. Rodríguez, Phys. Chem. Chem. Phys., 2008, 10, 5114 DOI: 10.1039/B719533H

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