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Dynamics of Opposing Polymer Brushes: A Computer Simulation Study

Opposing polymer brush systems were synthesized and investigated by molecular modeling. Chains were restricted to a face-centered cubic lattice with the excluded volume interactions only. The system was confined between two parallel impenetrable walls, with the same number of chains grafted to each...

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Autores principales: Hałagan, Krzysztof, Banaszak, Michał, Jung, Jarosław, Polanowski, Piotr, Sikorski, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398710/
https://www.ncbi.nlm.nih.gov/pubmed/34451296
http://dx.doi.org/10.3390/polym13162758
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author Hałagan, Krzysztof
Banaszak, Michał
Jung, Jarosław
Polanowski, Piotr
Sikorski, Andrzej
author_facet Hałagan, Krzysztof
Banaszak, Michał
Jung, Jarosław
Polanowski, Piotr
Sikorski, Andrzej
author_sort Hałagan, Krzysztof
collection PubMed
description Opposing polymer brush systems were synthesized and investigated by molecular modeling. Chains were restricted to a face-centered cubic lattice with the excluded volume interactions only. The system was confined between two parallel impenetrable walls, with the same number of chains grafted to each surface. The dynamic properties of such systems were studied by Monte Carlo simulations based on the dynamic lattice liquid model and using a highly efficient parallel machine ARUZ, which enabled the study of large systems and long timescales. The influence of the surface density and mean polymer length on the system dynamic was discussed. The self-diffusion coefficient of the solvent depended strongly on the degree of polymerization and on the polymer concentration. It was also shown that it is possible to capture changes in solvent mobility that can be attributed to the regions of different polymer densities.
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spelling pubmed-83987102021-08-29 Dynamics of Opposing Polymer Brushes: A Computer Simulation Study Hałagan, Krzysztof Banaszak, Michał Jung, Jarosław Polanowski, Piotr Sikorski, Andrzej Polymers (Basel) Article Opposing polymer brush systems were synthesized and investigated by molecular modeling. Chains were restricted to a face-centered cubic lattice with the excluded volume interactions only. The system was confined between two parallel impenetrable walls, with the same number of chains grafted to each surface. The dynamic properties of such systems were studied by Monte Carlo simulations based on the dynamic lattice liquid model and using a highly efficient parallel machine ARUZ, which enabled the study of large systems and long timescales. The influence of the surface density and mean polymer length on the system dynamic was discussed. The self-diffusion coefficient of the solvent depended strongly on the degree of polymerization and on the polymer concentration. It was also shown that it is possible to capture changes in solvent mobility that can be attributed to the regions of different polymer densities. MDPI 2021-08-17 /pmc/articles/PMC8398710/ /pubmed/34451296 http://dx.doi.org/10.3390/polym13162758 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hałagan, Krzysztof
Banaszak, Michał
Jung, Jarosław
Polanowski, Piotr
Sikorski, Andrzej
Dynamics of Opposing Polymer Brushes: A Computer Simulation Study
title Dynamics of Opposing Polymer Brushes: A Computer Simulation Study
title_full Dynamics of Opposing Polymer Brushes: A Computer Simulation Study
title_fullStr Dynamics of Opposing Polymer Brushes: A Computer Simulation Study
title_full_unstemmed Dynamics of Opposing Polymer Brushes: A Computer Simulation Study
title_short Dynamics of Opposing Polymer Brushes: A Computer Simulation Study
title_sort dynamics of opposing polymer brushes: a computer simulation study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398710/
https://www.ncbi.nlm.nih.gov/pubmed/34451296
http://dx.doi.org/10.3390/polym13162758
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