Percolative Behavior Models Based on Artificial Neural Networks for Electrical Percolation of AOT Microemulsions in the Presence of Crown Ethers as Additives-Reference-Cited by-同舟云学术

Percolative Behavior Models Based on Artificial Neural Networks for Electrical Percolation of AOT Microemulsions in the Presence of Crown Ethers as Additives

Published:2014-11-17 Issue:6 Volume:51 Page:533-540
ISSN:2195-8564
Container-title:Tenside Surfactants Detergents
language:en
Short-container-title:

Author:

Moldes Óscar A.¹,Cid Antonio²,Astray Gonzalo³,Mejuto Juan C.¹

Affiliation:

1. Physical-Chemistry Department , Faculty of Sciences, University of Vigo, Ourense , 32004 Spain

2. Chemistry Department , REQUIMTE-CQFB, Faculty of Sciences and Technology, University Nova of Lisbon, 2829-516, Monte de Caparica , Portugal

3. Department of Geological Sciences , College of Arts and Sciences, Ohio University, 45701 Athens , United States of America

Abstract

Abstract A series of models, based on artificial neural networks, of the percolative behaviour of AOT microemulsions in the presence of crown ethers as additives have been developed. Input variables, related to the chemical structure of crown ethers and their packing with surfactant film, have been selected. As a result, a model has been chosen with a good forecast capability for percolation threshold of such microemulsions.

Publisher

Walter de Gruyter GmbH

Subject

Condensed Matter Physics,General Chemical Engineering,General Chemistry

Link

https://www.degruyter.com/document/doi/10.3139/113.110340/pdf

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