Effective medium theory for the electrical conductivity of random metallic nanowire networks

Interest in studying the conductive properties of networks made from randomly distributed nanowires is due to their numerous technological applications. Although the sheet resistance of such networks can be calculated directly, the calculations require many characteristics of the system (distributions of lengths, diameters and resistances of nanowires, distribution of junction resistance), the measurement of which is difficult. Furthermore, such calculations can hardly offer an analytical dependence of the sheet resistance on the basic physical parameters of the systems under consideration. Although various theoretical approaches offer such analytical dependencies, they are often based on more or less reasonable assumptions rather than rigorously proven statements. Here, we offer an approach based on Foster’s theorem to reveal a dependence of the sheet resistance of dense nanowire networks on the main parameters of such networks. This theorem offers an additional perspective on the effective medium theory and extends our insight. Since the application of Foster’s theorem is particularly effective for regular random resistor networks, we propose a method for regularizing resistor networks corresponding to random nanowire networks. We found an analytical dependence of the effective electrical conductivity on the main parameters of the nanowire network (reduced number density of nanowires, nanowire resistance, and resistance of contacts between nanowires).

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Publication Details

Journal
Journal of Applied Physics
Published
2025-05-01
DOI
https://doi.org/10.1063/5.0267838
Citations
1
Primary Topic
Nanomaterials and Printing Technologies
Type
article
Field-Weighted Citation Impact
0.73

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article

Effective medium theory for the electrical conductivity of random metallic nanowire networks

Yuri Yu. Tarasevich, Irina V. Vodolazskaya, Andrei V. Eserkepov
1 citations
Journal of Applied Physics
Nanomaterials and Printing Technologies
0.73
article

Effective medium theory for the electrical conductivity of random metallic nanowire networks

Yuri Yu. Tarasevich, Irina V. Vodolazskaya, Andrei V. Eserkepov
article en
1 citations

Abstract

Interest in studying the conductive properties of networks made from randomly distributed nanowires is due to their numerous technological applications. Although the sheet resistance of such networks can be calculated directly, the calculations require many characteristics of the system (distributions of lengths, diameters and resistances of nanowires, distribution of junction resistance), the measurement of which is difficult. Furthermore, such calculations can hardly offer an analytical dependence of the sheet resistance on the basic physical parameters of the systems under consideration. Although various theoretical approaches offer such analytical dependencies, they are often based on more or less reasonable assumptions rather than rigorously proven statements. Here, we offer an approach based on Foster’s theorem to reveal a dependence of the sheet resistance of dense nanowire networks on the main parameters of such networks. This theorem offers an additional perspective on the effective medium theory and extends our insight. Since the application of Foster’s theorem is particularly effective for regular random resistor networks, we propose a method for regularizing resistor networks corresponding to random nanowire networks. We found an analytical dependence of the effective electrical conductivity on the main parameters of the nanowire network (reduced number density of nanowires, nanowire resistance, and resistance of contacts between nanowires).

Journal of Applied PhysicsVol. 137(17)
Astrakhan Tatischev State University (RU)
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Openalex Percentile: Top 29%
Nanomaterials and Printing Technologies
0.73
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Effective medium theory for the electrical conductivity of random metallic nanowire networks — Yuri Yu. Tarasevich, Irina V. Vodolazskaya, et al. · Journal of Applied Physics (2025) | TGRS Research Map | TGRS