Literature DB >> 30426736

Electrical Conductivity Modeling of Graphene-based Conductor Materials.

Leo Rizzi1,2, Andreas Zienert1,3, Jörg Schuster3, Martin Köhne2, Stefan E Schulz1,3.   

Abstract

Graphene-based conductors such as films and fibers aim to transfer graphene's extraordinary properties to the macroscopic scale. They show great potential for large-scale applications, but there is a lack of theoretical models to describe their electrical characteristics. We present a network simulation method to model the electrical conductivity of graphene-based conductors. The method considers all of the relevant microscopic parameters such as graphene flake conductivity, interlayer conductivity, packing density, and flake size. To provide a mathematical framework, we derive an analytical expression, which reproduces the essential features of the network model. We also find good agreement with experimental data. Our results offer production guidelines and enable the systematic optimization of high-performance graphene-based conductor materials. A generalization of the model to any conductor based on two-dimensional materials is straightforward.

Entities:  

Keywords:  conductor materials; electrical conductivity; graphene; nanocomposites; network simulation

Year:  2018        PMID: 30426736     DOI: 10.1021/acsami.8b16361

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

1.  Dependence of Precursor Graphite Flake Size on Nitrogen Doping in Graphene Oxide and Its Effect on OER Catalytic Activity.

Authors:  Prerna Joshi; Rohit Yadav; K Kanishka H De Silva; Masanori Hara; Hayato Shibuya; Yukihiro Motoyama; Masamichi Yoshimura
Journal:  ACS Omega       Date:  2022-08-10

2.  Strain Sensing Coatings for Large Composite Structures Based on 2D MXene Nanoparticles.

Authors:  Gediminas Monastyreckis; Anastasiia Stepura; Yaryna Soyka; Hanna Maltanava; Sergey K Poznyak; Mária Omastová; Andrey Aniskevich; Daiva Zeleniakiene
Journal:  Sensors (Basel)       Date:  2021-03-29       Impact factor: 3.576

  2 in total

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