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Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers
Modification of polymer properties by blending is a common practice in the polymer industry. We report here a study of blends of cyanurate polymers by molecular modelling that shows that the final experimentally determined properties can be predicted from first principles modelling to a good degree...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435312/ https://www.ncbi.nlm.nih.gov/pubmed/22970230 http://dx.doi.org/10.1371/journal.pone.0044487 |
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author | Crawford, Alasdair O. Hamerton, Ian Cavalli, Gabriel Howlin, Brendan J. |
author_facet | Crawford, Alasdair O. Hamerton, Ian Cavalli, Gabriel Howlin, Brendan J. |
author_sort | Crawford, Alasdair O. |
collection | PubMed |
description | Modification of polymer properties by blending is a common practice in the polymer industry. We report here a study of blends of cyanurate polymers by molecular modelling that shows that the final experimentally determined properties can be predicted from first principles modelling to a good degree of accuracy. There is always a compromise between simulation length, accuracy and speed of prediction. A comparison of simulation times shows that 125ps of molecular dynamics simulation at each temperature provides the optimum compromise for models of this size with current technology. This study opens up the possibility of computer aided design of polymer blends with desired physical and mechanical properties. |
format | Online Article Text |
id | pubmed-3435312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34353122012-09-11 Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers Crawford, Alasdair O. Hamerton, Ian Cavalli, Gabriel Howlin, Brendan J. PLoS One Research Article Modification of polymer properties by blending is a common practice in the polymer industry. We report here a study of blends of cyanurate polymers by molecular modelling that shows that the final experimentally determined properties can be predicted from first principles modelling to a good degree of accuracy. There is always a compromise between simulation length, accuracy and speed of prediction. A comparison of simulation times shows that 125ps of molecular dynamics simulation at each temperature provides the optimum compromise for models of this size with current technology. This study opens up the possibility of computer aided design of polymer blends with desired physical and mechanical properties. Public Library of Science 2012-09-06 /pmc/articles/PMC3435312/ /pubmed/22970230 http://dx.doi.org/10.1371/journal.pone.0044487 Text en © 2012 Crawford 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 Crawford, Alasdair O. Hamerton, Ian Cavalli, Gabriel Howlin, Brendan J. Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers |
title | Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers |
title_full | Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers |
title_fullStr | Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers |
title_full_unstemmed | Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers |
title_short | Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers |
title_sort | quantifying the effect of polymer blending through molecular modelling of cyanurate polymers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435312/ https://www.ncbi.nlm.nih.gov/pubmed/22970230 http://dx.doi.org/10.1371/journal.pone.0044487 |
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