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Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study

Optimization of thermal conductivity of nanomaterials enables the fabrication of tailor-made nanodevices for thermoelectric applications. Superlattice nanostructures are correspondingly introduced to minimize the thermal conductivity of nanomaterials. Herein we computationally estimate the effect of...

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Autores principales: Dehaghani, Maryam Zarghami, Habibzadeh, Sajjad, Farzadian, Omid, Kostas, Konstantinos V., Saeb, Mohammad Reza, Spitas, Christos, Mashhadzadeh, Amin Hamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106750/
https://www.ncbi.nlm.nih.gov/pubmed/35562417
http://dx.doi.org/10.1038/s41598-022-12168-7
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author Dehaghani, Maryam Zarghami
Habibzadeh, Sajjad
Farzadian, Omid
Kostas, Konstantinos V.
Saeb, Mohammad Reza
Spitas, Christos
Mashhadzadeh, Amin Hamed
author_facet Dehaghani, Maryam Zarghami
Habibzadeh, Sajjad
Farzadian, Omid
Kostas, Konstantinos V.
Saeb, Mohammad Reza
Spitas, Christos
Mashhadzadeh, Amin Hamed
author_sort Dehaghani, Maryam Zarghami
collection PubMed
description Optimization of thermal conductivity of nanomaterials enables the fabrication of tailor-made nanodevices for thermoelectric applications. Superlattice nanostructures are correspondingly introduced to minimize the thermal conductivity of nanomaterials. Herein we computationally estimate the effect of total length and superlattice period ([Formula: see text] ) on the thermal conductivity of graphene/graphane superlattice nanoribbons using molecular dynamics simulation. The intrinsic thermal conductivity ([Formula: see text] ) is demonstrated to be dependent on [Formula: see text] . The [Formula: see text] of the superlattice, nanoribbons decreased by approximately 96% and 88% compared to that of pristine graphene and graphane, respectively. By modifying the overall length of the developed structure, we identified the ballistic-diffusive transition regime at 120 nm. Further study of the superlattice periods yielded a minimal thermal conductivity value of 144 W m(−1) k(−1) at [Formula: see text]  = 3.4 nm. This superlattice characteristic is connected to the phonon coherent length, specifically, the length of the turning point at which the wave-like behavior of phonons starts to dominate the particle-like behavior. Our results highlight a roadmap for thermal conductivity value control via appropriate adjustments of the superlattice period.
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spelling pubmed-91067502022-05-15 Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study Dehaghani, Maryam Zarghami Habibzadeh, Sajjad Farzadian, Omid Kostas, Konstantinos V. Saeb, Mohammad Reza Spitas, Christos Mashhadzadeh, Amin Hamed Sci Rep Article Optimization of thermal conductivity of nanomaterials enables the fabrication of tailor-made nanodevices for thermoelectric applications. Superlattice nanostructures are correspondingly introduced to minimize the thermal conductivity of nanomaterials. Herein we computationally estimate the effect of total length and superlattice period ([Formula: see text] ) on the thermal conductivity of graphene/graphane superlattice nanoribbons using molecular dynamics simulation. The intrinsic thermal conductivity ([Formula: see text] ) is demonstrated to be dependent on [Formula: see text] . The [Formula: see text] of the superlattice, nanoribbons decreased by approximately 96% and 88% compared to that of pristine graphene and graphane, respectively. By modifying the overall length of the developed structure, we identified the ballistic-diffusive transition regime at 120 nm. Further study of the superlattice periods yielded a minimal thermal conductivity value of 144 W m(−1) k(−1) at [Formula: see text]  = 3.4 nm. This superlattice characteristic is connected to the phonon coherent length, specifically, the length of the turning point at which the wave-like behavior of phonons starts to dominate the particle-like behavior. Our results highlight a roadmap for thermal conductivity value control via appropriate adjustments of the superlattice period. Nature Publishing Group UK 2022-05-13 /pmc/articles/PMC9106750/ /pubmed/35562417 http://dx.doi.org/10.1038/s41598-022-12168-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dehaghani, Maryam Zarghami
Habibzadeh, Sajjad
Farzadian, Omid
Kostas, Konstantinos V.
Saeb, Mohammad Reza
Spitas, Christos
Mashhadzadeh, Amin Hamed
Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study
title Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study
title_full Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study
title_fullStr Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study
title_full_unstemmed Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study
title_short Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study
title_sort heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106750/
https://www.ncbi.nlm.nih.gov/pubmed/35562417
http://dx.doi.org/10.1038/s41598-022-12168-7
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