Regulating heat conduction of complex networks by distributed nodes masses

Abstract Developing efficient strategy to regulate heat conduction is a challenging problem, with potential implication in the field of thermal materials. We here focus on a potential thermal material, i.e. complex networks of nanowires and nanotubes, and propose a model where the mass of each node...

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Main Authors: Kezhao Xiong, Zhengxin Yan, You Xie, Zonghua Liu
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-85011-0
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spelling doaj-50f60c475ddd49c28b4cc6a231e8df852021-03-11T12:17:56ZengNature Publishing GroupScientific Reports2045-23222021-03-0111111010.1038/s41598-021-85011-0Regulating heat conduction of complex networks by distributed nodes massesKezhao Xiong0Zhengxin Yan1You Xie2Zonghua Liu3College of Science, Xi’an University of Science and TechnologyCollege of Science, Xi’an University of Science and TechnologyCollege of Science, Xi’an University of Science and TechnologySchool of Physics and Electronic Science, East China Normal UniversityAbstract Developing efficient strategy to regulate heat conduction is a challenging problem, with potential implication in the field of thermal materials. We here focus on a potential thermal material, i.e. complex networks of nanowires and nanotubes, and propose a model where the mass of each node is assigned proportional to its degree with $$m_i\sim k_i^{\alpha }$$ m i ∼ k i α , to investigate how distributed nodes masses can impact the heat flow in a network. We find that the heat conduction of complex network can be either increased or decreased, depending on the controlling parameter $$\alpha$$ α . Especially, there is an optimal heat conduction at $$\alpha =1$$ α = 1 and it is independent of network topologies. Moreover, we find that the temperature distribution within a complex network is also strongly influenced by the controlling parameter $$\alpha$$ α . A brief theoretical analysis is provided to explain these results. These findings may open up appealing applications in the cases of demanding either increasing or decreasing heat conduction, and our approach of regulating heat conduction by distributed nodes masses may be also valuable to the challenge of controlling waste heat dissipation in highly integrated and miniaturized modern devices.https://doi.org/10.1038/s41598-021-85011-0
collection DOAJ
language English
format Article
sources DOAJ
author Kezhao Xiong
Zhengxin Yan
You Xie
Zonghua Liu
spellingShingle Kezhao Xiong
Zhengxin Yan
You Xie
Zonghua Liu
Regulating heat conduction of complex networks by distributed nodes masses
Scientific Reports
author_facet Kezhao Xiong
Zhengxin Yan
You Xie
Zonghua Liu
author_sort Kezhao Xiong
title Regulating heat conduction of complex networks by distributed nodes masses
title_short Regulating heat conduction of complex networks by distributed nodes masses
title_full Regulating heat conduction of complex networks by distributed nodes masses
title_fullStr Regulating heat conduction of complex networks by distributed nodes masses
title_full_unstemmed Regulating heat conduction of complex networks by distributed nodes masses
title_sort regulating heat conduction of complex networks by distributed nodes masses
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-03-01
description Abstract Developing efficient strategy to regulate heat conduction is a challenging problem, with potential implication in the field of thermal materials. We here focus on a potential thermal material, i.e. complex networks of nanowires and nanotubes, and propose a model where the mass of each node is assigned proportional to its degree with $$m_i\sim k_i^{\alpha }$$ m i ∼ k i α , to investigate how distributed nodes masses can impact the heat flow in a network. We find that the heat conduction of complex network can be either increased or decreased, depending on the controlling parameter $$\alpha$$ α . Especially, there is an optimal heat conduction at $$\alpha =1$$ α = 1 and it is independent of network topologies. Moreover, we find that the temperature distribution within a complex network is also strongly influenced by the controlling parameter $$\alpha$$ α . A brief theoretical analysis is provided to explain these results. These findings may open up appealing applications in the cases of demanding either increasing or decreasing heat conduction, and our approach of regulating heat conduction by distributed nodes masses may be also valuable to the challenge of controlling waste heat dissipation in highly integrated and miniaturized modern devices.
url https://doi.org/10.1038/s41598-021-85011-0
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