Evidence map›Paper›PMID 33750886›Full record

ArticleScientific reports2021

Regulating heat conduction of complex networks by distributed nodes masses.

Kezhao Xiong, Zhengxin Yan, You Xie, Zonghua Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Kezhao XiongCollege of Science, Xi'an University of Science and Technology, Xi'an, 710054, People's Republic of China. xiongkezhao@outlook.com.
Zhengxin YanCollege of Science, Xi'an University of Science and Technology, Xi'an, 710054, People's Republic of China.
You XieCollege of Science, Xi'an University of Science and Technology, Xi'an, 710054, People's Republic of China.
Zonghua LiuSchool of Physics and Electronic Science, East China Normal University, Shanghai, 200062, People's Republic of China. zhliu@phy.ecnu.edu.cn.
Xi'an University of Science and Technology · CNEast China Normal University · CN

Funding

National Natural Science Foundation of China 11675056National Natural Science Foundation of China 11835003National Natural Science Foundation of China 12005166Natural Science Foundation of Shaanxi Provincial Department of Education 20JK0764
6 · The paper itself

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.

Identifiers

PMID33750886
PMCPMC7943792
OpenAlexW3133496744

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.