Electrical Conductivity Modeling of Graphene-based Conductor Materials

Area of Science:

• Materials Science
• Electrical Engineering
• Condensed Matter Physics

Background:

• Graphene conductors (films, fibers) aim to leverage graphene's properties at the macroscale.
• Existing research lacks theoretical models for graphene conductor electrical characteristics.
• Graphene's potential for large-scale applications is hindered by this modeling gap.

Purpose of the Study:

• To present a network simulation method for modeling the electrical conductivity of graphene-based conductors.
• To establish a mathematical framework for understanding conductor electrical properties.
• To provide a basis for optimizing graphene conductor performance.

Main Methods:

• Developed a network simulation method.
• Incorporated microscopic parameters: graphene flake conductivity, interlayer conductivity, packing density, and flake size.
• Derived an analytical expression to complement the network model.

Main Results:

• The network model accurately describes electrical conductivity by considering key microscopic parameters.
• The derived analytical expression captures essential features of the network model.
• Model predictions show good agreement with experimental data.

Conclusions:

• The developed model provides a theoretical framework for graphene-based conductors.
• Results offer practical guidelines for producing and optimizing high-performance graphene conductors.
• The model is generalizable to other two-dimensional material-based conductors.