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Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods

The technique of Quantitative Structure Property Relationships has been applied to the glass transition temperatures of polyarylethersulphones. A general equation is reported that calculates the glass transition temperatures with acceptable accuracy (correlation coefficients of between 90–67%, indic...

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Detalles Bibliográficos
Autores principales: Hamerton, Ian, Howlin, Brendan J., Kamyszek, Grzegorz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376152/
https://www.ncbi.nlm.nih.gov/pubmed/22719884
http://dx.doi.org/10.1371/journal.pone.0038424
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author Hamerton, Ian
Howlin, Brendan J.
Kamyszek, Grzegorz
author_facet Hamerton, Ian
Howlin, Brendan J.
Kamyszek, Grzegorz
author_sort Hamerton, Ian
collection PubMed
description The technique of Quantitative Structure Property Relationships has been applied to the glass transition temperatures of polyarylethersulphones. A general equation is reported that calculates the glass transition temperatures with acceptable accuracy (correlation coefficients of between 90–67%, indicating an error of 10–30% with regard to experimentally determined values) for a series of 42 reported polyarylethersulphones. This method is quite simple in assumption and relies on a relatively small number of parameters associated with the structural unit of the polymer: the number of rotatable bonds, the dipole moment, the heat of formation, the HOMO eigenvalue, the molar mass and molar volume. For smaller subsets of the main group (based on families of derivatives containing different substituents) the model can be simplified further to an equation that uses the volume of the substituents as the principal variable.
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spelling pubmed-33761522012-06-20 Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods Hamerton, Ian Howlin, Brendan J. Kamyszek, Grzegorz PLoS One Research Article The technique of Quantitative Structure Property Relationships has been applied to the glass transition temperatures of polyarylethersulphones. A general equation is reported that calculates the glass transition temperatures with acceptable accuracy (correlation coefficients of between 90–67%, indicating an error of 10–30% with regard to experimentally determined values) for a series of 42 reported polyarylethersulphones. This method is quite simple in assumption and relies on a relatively small number of parameters associated with the structural unit of the polymer: the number of rotatable bonds, the dipole moment, the heat of formation, the HOMO eigenvalue, the molar mass and molar volume. For smaller subsets of the main group (based on families of derivatives containing different substituents) the model can be simplified further to an equation that uses the volume of the substituents as the principal variable. Public Library of Science 2012-06-15 /pmc/articles/PMC3376152/ /pubmed/22719884 http://dx.doi.org/10.1371/journal.pone.0038424 Text en Howlin et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hamerton, Ian
Howlin, Brendan J.
Kamyszek, Grzegorz
Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods
title Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods
title_full Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods
title_fullStr Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods
title_full_unstemmed Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods
title_short Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR Methods
title_sort predicting glass transition temperatures of polyarylethersulphones using qspr methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376152/
https://www.ncbi.nlm.nih.gov/pubmed/22719884
http://dx.doi.org/10.1371/journal.pone.0038424
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