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Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
Published on: November 7, 2016
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Computational Study of Graphene-Polypyrrole Composite Electrical Conductivity.
Oladipo Folorunso1,2, Yskandar Hamam1,3, Rotimi Sadiku4
1Department of Electrical Engineering, French South African Institute of Technology (F'SATI), Tshwane University of Technology, Pretoria 0001, South Africa.
Nanomaterials (Basel, Switzerland)
|April 3, 2021
Summary
This study models electron transport in graphene-polypyrrole (graphene-PPy) nanocomposites. The findings aid in designing advanced polymer composites with tunable electrical properties.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Polymer Science
Background:
- Graphene-polypyrrole (graphene-PPy) nanocomposites exhibit unique electrical properties.
- Understanding electron transport mechanisms is crucial for device applications.
Purpose of the Study:
- To investigate the electrical properties of graphene-PPy nanocomposites.
- To develop a numerical model for predicting electron transport.
- To analyze the influence of material parameters on electrical conductivity.
Main Methods:
- Development of a numerical model based on Simmons and McCullough equations.
- Utilizing Monte Carlo simulations for analysis.
- Investigating effects of polypyrrole thickness, graphene aspect ratio, and conductivity.
Main Results:
- Tunneling resistance significantly impacts electron transport.
- Junction capacitance was predicted for the nanocomposite.
- High insulation thickness negatively affects electrochemical electrode performance.
- Electrical conductivity shows dependence on filler volume fraction.
Conclusions:
- The developed model aligns with percolation theory and experimental data.
- The study provides formulations for optimizing and designing polymer composite electrical properties.
- This research contributes to the advancement of functional nanocomposite materials.
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