Simulating of Effective Conductivity for Grapheme-polymer Nanocomposites

Overview

Journal Sci Rep

Specialty Science

Date 2023 Apr 11

PMID 37041268

Authors

Mostafa Vatani

Yasser Zare

Nima Gharib

Kyong Yop Rhee

Soo-Jin Park

Affiliations

Soon will be listed here.

Abstract

The efficient conductivity of graphene-polymer systems is expressed supposing graphene, tunneling and interphase components. The volume shares and inherent resistances of the mentioned components are used to define the efficient conductivity. Besides, the percolation start and the share of graphene and interphase pieces in the nets are formulated by simple equations. Also, the resistances of tunneling and interphase parts are correlated to graphene conductivity and their specifications. Suitable arrangements among experimented data and model's estimates as well as the proper trends between efficient conductivity and model's parameters validate the correctness of the novel model. The calculations disclose that the efficient conductivity improves by low percolation level, dense interphase, short tunnel, large tunneling pieces and poor polymer tunnel resistivity. Furthermore, only the tunneling resistance can govern the electron transportation between nanosheets and efficient conductivity, while the big amounts of graphene and interphase conductivity cannot play a role in the efficient conductivity.

Citing Articles

Graphene in 3D Bioprinting.

Patil R, Alimperti S J Funct Biomater. 2024; 15(4).

PMID: 38667539 PMC: 11051043. DOI: 10.3390/jfb15040082.

Assessment of electrical conductivity of polymer nanocomposites containing a deficient interphase around graphene nanosheet.

Zare Y, Munir M, Rhee K Sci Rep. 2024; 14(1):8737.

PMID: 38627579 PMC: 11639712. DOI: 10.1038/s41598-024-59678-0.

References

Messina E, Leone N, Foti A, Di Marco G, Riccucci C, Di Carlo G . Double-Wall Nanotubes and Graphene Nanoplatelets for Hybrid Conductive Adhesives with Enhanced Thermal and Electrical Conductivity. ACS Appl Mater Interfaces. 2016; 8(35):23244-59. DOI: 10.1021/acsami.6b06145. View

Khosrozadeh A, Rasuli R, Hamzeloopak H, Abedini Y . Wettability and sound absorption of graphene oxide doped polymer hydrogel. Sci Rep. 2021; 11(1):15949. PMC: 8342506. DOI: 10.1038/s41598-021-95641-z. View

Mohammadpour-Haratbar A, Abdollahi Boraei S, Zare Y, Rhee K, Park S . Graphene-Based Electrochemical Biosensors for Breast Cancer Detection. Biosensors (Basel). 2023; 13(1). PMC: 9855997. DOI: 10.3390/bios13010080. View

Zare Y, Rhee K . An innovative model for conductivity of graphene-based system by networked nano-sheets, interphase and tunneling zone. Sci Rep. 2022; 12(1):15179. PMC: 9452680. DOI: 10.1038/s41598-022-19479-9. View

Ma R, Mu G, Zhang H, Liu J, Gao Y, Zhao X . Percolation analysis of the electrical conductive network in a polymer nanocomposite by nanorod functionalization. RSC Adv. 2022; 9(62):36324-36333. PMC: 9074929. DOI: 10.1039/c9ra04680a. View

Gao C, Zhang S, Wang F, Wen B, Han C, Ding Y . Graphene networks with low percolation threshold in ABS nanocomposites: selective localization and electrical and rheological properties. ACS Appl Mater Interfaces. 2014; 6(15):12252-60. DOI: 10.1021/am501843s. View

Berhan L, Sastry A . Modeling percolation in high-aspect-ratio fiber systems. I. Soft-core versus hard-core models. Phys Rev E Stat Nonlin Soft Matter Phys. 2007; 75(4 Pt 1):041120. DOI: 10.1103/PhysRevE.75.041120. View

Kara S, Arda E, Dolastir F, Pekcan O . Electrical and optical percolations of polystyrene latex-multiwalled carbon nanotube composites. J Colloid Interface Sci. 2010; 344(2):395-401. DOI: 10.1016/j.jcis.2009.12.056. View

Mohammadpour-Haratbar A, Zare Y, Rhee K . Electrochemical biosensors based on polymer nanocomposites for detecting breast cancer: Recent progress and future prospects. Adv Colloid Interface Sci. 2022; 309:102795. DOI: 10.1016/j.cis.2022.102795. View

10.

Bahrami S, Baheiraei N, Shahrezaee M . Biomimetic reduced graphene oxide coated collagen scaffold for in situ bone regeneration. Sci Rep. 2021; 11(1):16783. PMC: 8373942. DOI: 10.1038/s41598-021-96271-1. View

11.

Ghanbari S, Ahour F, Keshipour S . An optical and electrochemical sensor based on L-arginine functionalized reduced graphene oxide. Sci Rep. 2022; 12(1):19398. PMC: 9653396. DOI: 10.1038/s41598-022-23949-5. View

12.

Zare Y, Rhee K . Effect of contact resistance on the electrical conductivity of polymer graphene nanocomposites to optimize the biosensors detecting breast cancer cells. Sci Rep. 2022; 12(1):5406. PMC: 8967928. DOI: 10.1038/s41598-022-09398-0. View

13.

Zare Y, Rhee K . Dependence of Z Parameter for Tensile Strength of Multi-Layered Interphase in Polymer Nanocomposites to Material and Interphase Properties. Nanoscale Res Lett. 2017; 12(1):42. PMC: 5241266. DOI: 10.1186/s11671-017-1830-5. View

14.

Zare Y . Modeling the yield strength of polymer nanocomposites based upon nanoparticle agglomeration and polymer-filler interphase. J Colloid Interface Sci. 2016; 467:165-169. DOI: 10.1016/j.jcis.2016.01.022. View

15.

Zare Y, Rhee K . Development of a model for modulus of polymer halloysite nanotube nanocomposites by the interphase zones around dispersed and networked nanotubes. Sci Rep. 2022; 12(1):2443. PMC: 8844292. DOI: 10.1038/s41598-022-06465-4. View

16.

Zare Y . Modeling the strength and thickness of the interphase in polymer nanocomposite reinforced with spherical nanoparticles by a coupling methodology. J Colloid Interface Sci. 2015; 465:342-6. DOI: 10.1016/j.jcis.2015.09.025. View

17.

Zare Y, Rhee K . A multistep methodology for calculation of the tensile modulus in polymer/carbon nanotube nanocomposites above the percolation threshold based on the modified rule of mixtures. RSC Adv. 2022; 8(54):30986-30993. PMC: 9085519. DOI: 10.1039/c8ra04992k. View