Electrical conductivity of nanorod-based transparent electrodes: Comparison of mean-field approaches

Yuri Yu. Tarasevich, Andrei V. Eserkepov, and Irina V. Vodolazskaya
Phys. Rev. E 105, 044129 – Published 21 April 2022
PDFHTMLExport Citation

Abstract

We mimic nanorod-based transparent electrodes as random resistor networks (RRNs) produced by the homogeneous, isotropic, and random deposition of conductive zero-width sticks onto an insulating substrate. We suppose that the number density (the number of objects per unit area of the surface) of these sticks exceeds the percolation threshold, i.e., the system under consideration is a conductor. We computed the electrical conductivity of random resistor networks versus the number density of conductive fillers for the wire-resistance-dominated case, for the junction-resistance-dominated case, and for an intermediate case. We also offer a consistent continuous variant of the mean-field approach. The results of the RRN computations were compared with this mean-field approach. Our computations suggest that, for a qualitative description of the behavior of the electrical conductivity in relation to the number density of conductive wires, the mean-field approximation can be successfully applied when the number density of the fillers n>2nc, where nc is the percolation threshold. However, note the mean-field approach slightly overestimates the electrical conductivity. We demonstrate that this overestimate is caused by the junction potential distribution.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
2 More
  • Received 12 October 2021
  • Accepted 6 April 2022

DOI:https://doi.org/10.1103/PhysRevE.105.044129

©2022 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsInterdisciplinary PhysicsStatistical Physics & ThermodynamicsNetworks

Authors & Affiliations

Yuri Yu. Tarasevich*, Andrei V. Eserkepov, and Irina V. Vodolazskaya

  • Laboratory of Mathematical Modeling, Astrakhan State University, Astrakhan 414056, Russia

  • *Corresponding author: tarasevich@asu.edu.ru
  • dantealigjery49@gmail.com
  • vodolazskaya_agu@mail.ru

Article Text (Subscription Required)

Click to Expand

Supplemental Material (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 105, Iss. 4 — April 2022

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×