Enhanced thermal transport effects in high-complexity networks

Devices based on nanonetworks have attracted growing interest due to their broad application potential. In this work, we investigate thermal transport in a quasirealistic nanonetwork model, where the nodes represent the cross junctions of atomic chains and the links consist of one-dimensional atomic chains. The results demonstrate that as the structural complexity of both weighted and unweighted networks increases, the thermal transport efficiency is significantly enhanced. To further elucidate the physical mechanism underlying this phenomenon, the effect of system complexity on phonon localization is examined through calculations of the phonon density of states and participation ratio. Based on these findings, we propose and validate an effective strategy for modulating thermal transport in nanonetworks by tuning the complexity of the network, offering new insights into the design of thermally functional materials and devices.

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Publication Details

Journal
Physical review. E
Published
2025-10-14
DOI
https://doi.org/10.1103/pzk5-x1sz
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Enhanced thermal transport effects in high-complexity networks

K. Xiong, Wei Liu, Yuqi Liu, Zhaoju Mao
Physical review. E
Advanced Memory and Neural Computing
article

Enhanced thermal transport effects in high-complexity networks

K. Xiong, Wei Liu, Yuqi Liu, Zhaoju Mao
article en

Abstract

Devices based on nanonetworks have attracted growing interest due to their broad application potential. In this work, we investigate thermal transport in a quasirealistic nanonetwork model, where the nodes represent the cross junctions of atomic chains and the links consist of one-dimensional atomic chains. The results demonstrate that as the structural complexity of both weighted and unweighted networks increases, the thermal transport efficiency is significantly enhanced. To further elucidate the physical mechanism underlying this phenomenon, the effect of system complexity on phonon localization is examined through calculations of the phonon density of states and participation ratio. Based on these findings, we propose and validate an effective strategy for modulating thermal transport in nanonetworks by tuning the complexity of the network, offering new insights into the design of thermally functional materials and devices.

Physical review. EVol. 112(4)
Xi'an University of Science and Technology (CN), Fudan University (CN)
Openalex Percentile: Top 71%
Advanced Memory and Neural Computing
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