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Conductivity model of graphene printed plates

https://doi.org/10.55648/1998-6920-2022-16-4-96-103

Abstract

A model has been developed to explain the dependence of the surface resistance of printed conductive graphene plates on their surface resistance. The model assumes that the printed conductive graphene plate is layered. The simulation results are compared with the experimental results obtained by the authors. The plates were printed with two types of ink: 1 -graphene ink. 2- graphene ink with polymer additives. The reliability of the approximation of experimental data on the surface conductivity of plates printed by the first and the second types is no worse than 99.5% and 98.5%. respectively. The model made it possible to estimate the effective thickness of graphene printed layers forming a conductive graphene plate. The mechanism of layer conduction is considered.

About the Authors

A. G. Cherevko
Siberian State University of Telecommunications and Information Science (SibSUTIS)
Russian Federation

Alexander G. Cherevko, Philosophy doctor, Associate Professor

Novosibirsk



I. V. Antonova
Siberian State University of Telecommunications and Information Science (SibSUTIS); Rzhanov Institute of Semiconductor Physics of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Irina V. Antonova, Doctor of Physical and Mathematical Sciences, Professor

Novosibirsk



A. G. Maryasov
Siberian State University of Telecommunications and Information Science (SibSUTIS)
Russian Federation

Alexander G. Maryasov, Philosophy doctor

Novosibirsk



A. A. Cherevko
Institute of Hydrodynamics of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Alexander A. Cherevko, Philosophy doctor Lavrentyev

Novosibirsk



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For citations:


Cherevko A.G., Antonova I.V., Maryasov A.G., Cherevko A.A. Conductivity model of graphene printed plates. The Herald of the Siberian State University of Telecommunications and Information Science. 2022;16(4):96-103. (In Russ.) https://doi.org/10.55648/1998-6920-2022-16-4-96-103

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ISSN 1998-6920 (Print)