Evidence map›Paper›PMID 35562417›Full record

ArticleScientific reports2022

Heat transfer through hydrogenated graphene superlattice nanoribbons: a computational study.

Maryam Zarghami Dehaghani, Sajjad Habibzadeh, Omid Farzadian, Konstantinos V Kostas, Mohammad Reza Saeb, Christos Spitas, Amin Hamed Mashhadzadeh

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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maryam Zarghami DehaghaniSchool of Chemical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Sajjad HabibzadehDepartment of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. sajjad.habibzadeh@mail.mcgill.ca.
Omid FarzadianMechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Nur-Sultan, Kazakhstan.
Konstantinos V KostasMechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Nur-Sultan, Kazakhstan.
Mohammad Reza SaebDepartment of Polymer Technology, Faculty of Chemistry, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233, Gdańsk, Poland.
Christos SpitasMechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Nur-Sultan, Kazakhstan.
Amin Hamed MashhadzadehMechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Nur-Sultan, Kazakhstan. amin.hamed.m@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Identifiers

PMID35562417
PMCPMC9106750

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