ArticleNanomaterials (Basel, Switzerland)2020
Calculating the Electrical Conductivity of Graphene Nanoplatelet Polymer Composites by a Monte Carlo Method.
Article in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Influence of Surfactant-Assisted Graphene Nanoplatelet Dispersion on the Mechanical and Electrical Properties of Fly Ash Geopolymer Mortar.Materials (Basel, Switzerland) · 2026Article
- Industrial-Grade Graphene Films as Distributed Temperature Sensors.Sensors (Basel, Switzerland) · 2025Article
- The Effect of GO Flake Size on Field-Effect Transistor (FET)-Based Biosensor Performance for Detection of Ions and PACAP 38.Biosensors · 2025Article
- A Novel Cryogenic Approach to 3D Printing Cytocompatible, Conductive, Hydrogel-Based Inks.3D printing and additive manufacturing · 2024Article
- Review
- Development of Self-Sensing Asphalt Pavements: Review and Perspectives.Sensors (Basel, Switzerland) · 2024Article
- A Capacitive Ice-Sensor Based on Graphene Nano-Platelets Strips.Sensors (Basel, Switzerland) · 2023Article
- Temperature dependence of electrical conductivity and variable hopping range mechanism on graphene oxide films.Scientific reports · 2023Article
- Graphene Nanoplatelets-Based Textured Polymeric Fibrous Fabrics for the Next-Generation Devices.Polymers · 2022Article
- Conductivity Behaviour under Pressure of Copper Micro-Additive/Polyurethane Composites (Experiment and Modelling).Polymers · 2022Article
- Review
- Special Issue of Nanomaterials: Mechanics of Nanostructures and Nanomaterials.Nanomaterials (Basel, Switzerland) · 2022Article
- Nanomaterial-Based Electrically Conductive Hydrogels for Cardiac Tissue Repair.International journal of nanomedicine · 2022Review
- Computational Study of Graphene-Polypyrrole Composite Electrical Conductivity.Nanomaterials (Basel, Switzerland) · 2021Article
- Article
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Authors and funding
4 authors.
Funding
Abstract
Electrical conductivity is one of several outstanding features of graphene-polymer nanocomposites, but calculations of this property require the intricate features of the underlying conduction processes to be accounted for. To this end, a novel Monte Carlo method was developed. We first established a randomly distributed graphene nanoplatelet (GNP) network. Then, based on the tunneling effect, the contact conductance between the GNPs was calculated. Coated surfaces (CSs) were next set up to calculate the current flow from the GNPs to the polymer. Using the equipotential approximation, the potentials of the GNPs and CSs met Kirchhoff's current law, and, based on Laplace equation, the potential of the CSs was obtained from the potential of the GNP by the walk-on-spheres (WoS) method. As such, the potentials of all GNPs were obtained, and the electrical conductivity of the GNP polymer composites was calculated. The barrier heights, polymer conductivity, diameter and thickness of the GNP determining the electrical conductivity of composites were studied in this model. The calculated conductivity and percolation threshold were shown to agree with experimental data.
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