Literature DB >> 33750886

Regulating heat conduction of complex networks by distributed nodes masses.

Kezhao Xiong1,2, Zhengxin Yan3, You Xie3, Zonghua Liu4.   

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 [Formula: see text], 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 [Formula: see text]. Especially, there is an optimal heat conduction at [Formula: see text] 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 [Formula: see text]. 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.

Entities:  

Year:  2021        PMID: 33750886      PMCID: PMC7943792          DOI: 10.1038/s41598-021-85011-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  22 in total

1.  Controlling the energy flow in nonlinear lattices: a model for a thermal rectifier.

Authors:  M Terraneo; M Peyrard; G Casati
Journal:  Phys Rev Lett       Date:  2002-02-14       Impact factor: 9.161

2.  Momentum conservation implies anomalous energy transport in 1D classical lattices

Authors: 
Journal:  Phys Rev Lett       Date:  2000-03-27       Impact factor: 9.161

3.  Thermal diode: rectification of heat flux.

Authors:  Baowen Li; Lei Wang; Giulio Casati
Journal:  Phys Rev Lett       Date:  2004-10-27       Impact factor: 9.161

4.  Measuring the thermal conductivity of a single carbon nanotube.

Authors:  Motoo Fujii; Xing Zhang; Huaqing Xie; Hiroki Ago; Koji Takahashi; Tatsuya Ikuta; Hidekazu Abe; Tetsuo Shimizu
Journal:  Phys Rev Lett       Date:  2005-08-02       Impact factor: 9.161

5.  Solid-state thermal rectifier.

Authors:  C W Chang; D Okawa; A Majumdar; A Zettl
Journal:  Science       Date:  2006-11-17       Impact factor: 47.728

6.  Breakdown of Fourier's law in nanotube thermal conductors.

Authors:  C W Chang; D Okawa; H Garcia; A Majumdar; A Zettl
Journal:  Phys Rev Lett       Date:  2008-08-15       Impact factor: 9.161

7.  Pressure-induced recovery of Fourier's law in one-dimensional momentum-conserving systems.

Authors:  Dye Sk Sato
Journal:  Phys Rev E       Date:  2016-07-13       Impact factor: 2.529

8.  Thermal conductivity of graphene and graphite: collective excitations and mean free paths.

Authors:  Giorgia Fugallo; Andrea Cepellotti; Lorenzo Paulatto; Michele Lazzeri; Nicola Marzari; Francesco Mauri
Journal:  Nano Lett       Date:  2014-11-03       Impact factor: 11.189

9.  Carbon nanotubes--the route toward applications.

Authors:  Ray H Baughman; Anvar A Zakhidov; Walt A de Heer
Journal:  Science       Date:  2002-08-02       Impact factor: 47.728

10.  Ballistic carbon nanotube field-effect transistors.

Authors:  Ali Javey; Jing Guo; Qian Wang; Mark Lundstrom; Hongjie Dai
Journal:  Nature       Date:  2003-08-07       Impact factor: 49.962

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.