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Steric Interference in Bilayer Graphene with Point Dislocations

We present evidence of strong steric interference in bilayer graphene containing offset point dislocations. Calculations are carried out with Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) using the Long-Range Carbon Bond-Order Potential (LCBOP) potential of Los et al.. We start...

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Detalles Bibliográficos
Autores principales: Arca, Francisco, Mendez, Juan Pedro, Ortiz, Michael, Ariza, Pilar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669646/
https://www.ncbi.nlm.nih.gov/pubmed/31337141
http://dx.doi.org/10.3390/nano9071012
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author Arca, Francisco
Mendez, Juan Pedro
Ortiz, Michael
Ariza, Pilar
author_facet Arca, Francisco
Mendez, Juan Pedro
Ortiz, Michael
Ariza, Pilar
author_sort Arca, Francisco
collection PubMed
description We present evidence of strong steric interference in bilayer graphene containing offset point dislocations. Calculations are carried out with Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) using the Long-Range Carbon Bond-Order Potential (LCBOP) potential of Los et al.. We start by validating the potential in the harmonic response by comparing the predicted phonon dispersion curves to experimental data and other potentials. The requisite force constants are derived by linearization of the potential and are presented in full form. We then continue to validate the potential in applications involving the formation of dislocation dipoles and quadrupoles in monolayer configurations. Finally, we evaluate a number of dislocation quadrupole configurations in monolayer and bilayer graphene and document strong steric interactions due to out-of-plane displacements when the dislocations on the individual layers are sufficiently offset with respect to each other.
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spelling pubmed-66696462019-08-08 Steric Interference in Bilayer Graphene with Point Dislocations Arca, Francisco Mendez, Juan Pedro Ortiz, Michael Ariza, Pilar Nanomaterials (Basel) Article We present evidence of strong steric interference in bilayer graphene containing offset point dislocations. Calculations are carried out with Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) using the Long-Range Carbon Bond-Order Potential (LCBOP) potential of Los et al.. We start by validating the potential in the harmonic response by comparing the predicted phonon dispersion curves to experimental data and other potentials. The requisite force constants are derived by linearization of the potential and are presented in full form. We then continue to validate the potential in applications involving the formation of dislocation dipoles and quadrupoles in monolayer configurations. Finally, we evaluate a number of dislocation quadrupole configurations in monolayer and bilayer graphene and document strong steric interactions due to out-of-plane displacements when the dislocations on the individual layers are sufficiently offset with respect to each other. MDPI 2019-07-14 /pmc/articles/PMC6669646/ /pubmed/31337141 http://dx.doi.org/10.3390/nano9071012 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Arca, Francisco
Mendez, Juan Pedro
Ortiz, Michael
Ariza, Pilar
Steric Interference in Bilayer Graphene with Point Dislocations
title Steric Interference in Bilayer Graphene with Point Dislocations
title_full Steric Interference in Bilayer Graphene with Point Dislocations
title_fullStr Steric Interference in Bilayer Graphene with Point Dislocations
title_full_unstemmed Steric Interference in Bilayer Graphene with Point Dislocations
title_short Steric Interference in Bilayer Graphene with Point Dislocations
title_sort steric interference in bilayer graphene with point dislocations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669646/
https://www.ncbi.nlm.nih.gov/pubmed/31337141
http://dx.doi.org/10.3390/nano9071012
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