Semiconductor-to-Insulator Transition in Inter-electrode Bridge-Like Ensembles of Anatase Nanoparticles under a Long-Term Action of the Direct Current

Dmitry A. Zimnyakov; Sergey S. Volchkov; Mikhail Yu. Vasilkov; Ilia A. Plugin; Alexey S. Varezhnikov; Nikolay V. Gorshkov; Arseni V. Ushakov; Alexey S. Tokarev; Dmitry V. Tsypin; Dmitry Vereshagin

doi:10.20944/preprints202304.0175.v1

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preprints.org > physical sciences > applied physics > doi: 10.20944/preprints202304.0175.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Semiconductor-to-Insulator Transition in Inter-electrode Bridge-Like Ensembles of Anatase Nanoparticles under a Long-Term Action of the Direct Current

^* ,

Alexey S. Varezhnikov

Version 1 : Received: 10 April 2023 / Approved: 11 April 2023 / Online: 11 April 2023 (02:53:58 CEST)

A peer-reviewed article of this Preprint also exists.

Zimnyakov, D.A.; Volchkov, S.S.; Vasilkov, M.Y.; Plugin, I.A.; Varezhnikov, A.S.; Gorshkov, N.V.; Ushakov, A.V.; Tokarev, A.S.; Tsypin, D.V.; Vereshagin, D.A. Semiconductor-to-Insulator Transition in Inter-Electrode Bridge-like Ensembles of Anatase Nanoparticles under a Long-Term Action of the Direct Current. Nanomaterials 2023, 13, 1490. Zimnyakov, D.A.; Volchkov, S.S.; Vasilkov, M.Y.; Plugin, I.A.; Varezhnikov, A.S.; Gorshkov, N.V.; Ushakov, A.V.; Tokarev, A.S.; Tsypin, D.V.; Vereshagin, D.A. Semiconductor-to-Insulator Transition in Inter-Electrode Bridge-like Ensembles of Anatase Nanoparticles under a Long-Term Action of the Direct Current. Nanomaterials 2023, 13, 1490.

Abstract

The results of experimental studies of ohmic conductivity degradation in the ensembles of nanostructured anatase bridges under long-term effect of direct current are presented. Stochastic sets of interelectrode partially conducting bridges consisting of close-packed anatase nanoparticles were formed by the seeding particles from drying aqueous suspensions on the surfaces of silica substrates with interdigital platinum electrodes. Multiple-run experiments at room temperature have shown that ohmic conductivity degradation in these systems is irreversible. It is presumably due to accumulated capture of conduction electrons by deep traps in anatase nanoparticles. The scaling analysis of voltage drops across the samples at the final stage of degradation gives a critical exponent for ohmic conductivity as 1.597. This value satisfactorily agrees with the reported model data for percolation systems. At an early stage of degradation, the spectral density of conduction current fluctuations wihin the frequency range of 0.01 Hz - 1 Hz decreases approximately as , while near the percolation threshold the decrease trend changes to . This transition is interpreted in terms of an increasing contribution of blockages and subsequent avalanche-like breakdowns of part of the local conduction channels in the bridges into electron transport near the percolation threshold.

Keywords

conductivity; anatase nanoparticles; inter-electrode bridges; percolation threshold; critical exponent

Subject

Physical Sciences, Applied Physics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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