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Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity

It is well known that a small number of graphene nanoparticles embedded in polymers enhance the electrical conductivity; the polymer changes from being an insulator to a conductor. The graphene nanoparticles induce several quantum effects, non-covalent interactions, so the percolation threshold is a...

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Autores principales: Apátiga, Jorge Luis, del Castillo, Roxana Mitzayé, del Castillo, Luis Felipe, Calles, Alipio G., Espejel-Morales, Raúl, Favela, José F., Compañ, Vicente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197260/
https://www.ncbi.nlm.nih.gov/pubmed/34073855
http://dx.doi.org/10.3390/polym13111714
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author Apátiga, Jorge Luis
del Castillo, Roxana Mitzayé
del Castillo, Luis Felipe
Calles, Alipio G.
Espejel-Morales, Raúl
Favela, José F.
Compañ, Vicente
author_facet Apátiga, Jorge Luis
del Castillo, Roxana Mitzayé
del Castillo, Luis Felipe
Calles, Alipio G.
Espejel-Morales, Raúl
Favela, José F.
Compañ, Vicente
author_sort Apátiga, Jorge Luis
collection PubMed
description It is well known that a small number of graphene nanoparticles embedded in polymers enhance the electrical conductivity; the polymer changes from being an insulator to a conductor. The graphene nanoparticles induce several quantum effects, non-covalent interactions, so the percolation threshold is accelerated. We studied five of the most widely used polymers embedded with graphene nanoparticles: polystyrene, polyethylene-terephthalate, polyether-ketone, polypropylene, and polyurethane. The polymers with aromatic rings are affected mainly by the graphene nanoparticles due to the π-π stacking, and the long-range terms of the dispersion corrections are predominant. The polymers with linear structure have a CH-π stacking, and the short-range terms of the dispersion corrections are the important ones. We used the action radius as a measuring tool to quantify the non-covalent interactions. This action radius was the main parameter used in the Monte-Carlo simulation to obtain the conductivity at room temperature (300 K). The action radius was the key tool to describe how the percolation transition works from the fundamental quantum levels and connect the microscopic study with macroscopic properties. In the Monte-Carlo simulation, it was observed that the non-covalent interactions affect the electronic transmission, inducing a higher mean-free path that promotes the efficiency in the transmission.
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spelling pubmed-81972602021-06-13 Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity Apátiga, Jorge Luis del Castillo, Roxana Mitzayé del Castillo, Luis Felipe Calles, Alipio G. Espejel-Morales, Raúl Favela, José F. Compañ, Vicente Polymers (Basel) Article It is well known that a small number of graphene nanoparticles embedded in polymers enhance the electrical conductivity; the polymer changes from being an insulator to a conductor. The graphene nanoparticles induce several quantum effects, non-covalent interactions, so the percolation threshold is accelerated. We studied five of the most widely used polymers embedded with graphene nanoparticles: polystyrene, polyethylene-terephthalate, polyether-ketone, polypropylene, and polyurethane. The polymers with aromatic rings are affected mainly by the graphene nanoparticles due to the π-π stacking, and the long-range terms of the dispersion corrections are predominant. The polymers with linear structure have a CH-π stacking, and the short-range terms of the dispersion corrections are the important ones. We used the action radius as a measuring tool to quantify the non-covalent interactions. This action radius was the main parameter used in the Monte-Carlo simulation to obtain the conductivity at room temperature (300 K). The action radius was the key tool to describe how the percolation transition works from the fundamental quantum levels and connect the microscopic study with macroscopic properties. In the Monte-Carlo simulation, it was observed that the non-covalent interactions affect the electronic transmission, inducing a higher mean-free path that promotes the efficiency in the transmission. MDPI 2021-05-24 /pmc/articles/PMC8197260/ /pubmed/34073855 http://dx.doi.org/10.3390/polym13111714 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
Apátiga, Jorge Luis
del Castillo, Roxana Mitzayé
del Castillo, Luis Felipe
Calles, Alipio G.
Espejel-Morales, Raúl
Favela, José F.
Compañ, Vicente
Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity
title Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity
title_full Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity
title_fullStr Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity
title_full_unstemmed Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity
title_short Non-Covalent Interactions on Polymer-Graphene Nanocomposites and Their Effects on the Electrical Conductivity
title_sort non-covalent interactions on polymer-graphene nanocomposites and their effects on the electrical conductivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197260/
https://www.ncbi.nlm.nih.gov/pubmed/34073855
http://dx.doi.org/10.3390/polym13111714
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