Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
A Model for Effective Conductivity of Polymer Nanocomposites Containing Mxene Nanosheets Publisher



Hadi Z1 ; Yeganeh JK1 ; Zare Y2 ; Munir MT3 ; Rhee KY4 ; Park SJ4
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Polymer Engineering, Faculty of Engineering, Qom, Iran
  2. 2. Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
  3. 3. College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait
  4. 4. Department of Mechanical Engineering (BK21 four), College of Engineering, Kyung Hee University, Yongin, South Korea

Source: Polymer Composites Published:2025


Abstract

This paper introduces a groundbreaking model to evaluate the conductivity of nanocomposites comprising MXene nanosheets. The model simulates the effective conductivity considering MXene dimensions, MXene volume fraction, interphase thickness, percolation threshold, contact distance, and tunneling resistance. The model's predictions align well with empirical conductivity results obtained various laboratory samples. The scrutiny of elements impacting effective conductivity is affirmed, given the assumption of contact resistance and the operation of the MXene/interphase network. Slender MXene nanosheets and expansive contacts lead to an elevated level of effective conductivity. Moreover, the effective conductivity shows a direct correlation with the MXene loading, while a higher percolation onset produces a poorer conductivity. Based on the model's outputs, an insulative nanocomposite is identified via the thinnest interphase ((Formula presented.) < 1 nm), the thickest MXene (t > 4 nm), the smallest MXene volume fraction ((Formula presented.) < 0.01), and the lowest percentage of networked nanosheets ((Formula presented.) < 0.05). Contrariwise, the most remarkable conductivity as 25.6 S/m is attained by the thinnest MXene nanosheets (t = 1 nm). In addition, the narrowest tunnels (tunneling distance of 1 nm) yield the uppermost effective conductivity of 6.2 S/m in the system. Highlights: This study proposes a model for conductivity of polymer MXene nanocomposites. MXene size, interphase depth, contact distance, and tunneling resistance are considered. The predictions agree with the experimental conductivity data of several samples. A higher conductivity is obtained by the bigger contact area and thicker interphase. The narrowest tunnels (1 nm) produce the uppermost effective conductivity of 6.2 S/m. © 2025 Society of Plastics Engineers.
Related Docs
View other Related Docs
1. An Innovative Model for Electrical Conductivity of Mxene Polymer Nanocomposites by Interphase and Tunneling Characteristics, Composites Part A: Applied Science and Manufacturing (2024)
2. Predicting of Electrical Conductivity for Polymer-Mxene Nanocomposites, Journal of Materials Research and Technology (2024)
3. Multifactorial Predicting of Conductivity in Polymer Nanocomposites With Graphene: Insights Into Imperfect Interphase Conduction, Polymer Composites (2025)
4. A Predictive Model for Electrical Conductivity of Polymer Carbon Black Nanocomposites, Polymer Composites (2025)
5. Conduction Transportation From Graphene to an Insulative Polymer Medium: A Novel Approach for the Conductivity of Nanocomposites, Nanotechnology Reviews (2024)
6. Simulating of Effective Conductivity for Grapheme–Polymer Nanocomposites, Scientific Reports (2023)
7. A Predictive Model for Electrical Conductivity of Polymer Carbon Nanofiber Composites Considering Nanofiber/Interphase Network and Tunneling Dimensions, Journal of Materials Research and Technology (2025)
8. Unveiling the Impact of Interphase Properties on the Modulus of Composites Reinforced With Nanodiamond: Defining an Interfacial Adhesion Parameter, Surfaces and Interfaces (2025)
Other Related Docs
9. Towards Precision in Nanocomposite Design: Predictive Model for Tensile Modulus of Polymer Starch Nanocrystals System by Interphase Features, International Journal of Biological Macromolecules (2025)
10. Advanced Predicting of Conductivity for Carbon Nanofiber Polymer Systems: Incorporating of Nanofiber, Interphase, and Tunneling Impacts, Surfaces and Interfaces (2025)
11. A New Method for Conductivity Prediction in Polymer Carbon Nanofiber System by the Interphase Size and Total Conductivity of Constituents, Polymer (2025)
12. Advancing Conductivity Modeling: A Unified Framework for Polymer Carbon Black Nanocomposites, Journal of Materials Research and Technology (2025)
13. A New Pattern for Conductivity of Carbon Nanofiber Polymer Composites With Interphase and Tunneling Parameters, Composites Part A: Applied Science and Manufacturing (2025)
14. Predictive Models for the Tensile Strength of Polymer Composites Comprising Spherical Nano-Starch Using Interphase Properties, Industrial Crops and Products (2025)
15. Effects of a Deficient Interface, Tunneling Size and Interphase Depth on the Percolation Inception, Percentage of Graphene in the Nets and Conductivity of Nanocomposites, Diamond and Related Materials (2024)
16. Expression of Characteristic Tunneling Distance to Control the Electrical Conductivity of Carbon Nanotubes-Reinforced Nanocomposites, Journal of Materials Research and Technology (2020)
17. An Innovative Model for Conductivity of Graphene-Based System by Networked Nano-Sheets, Interphase and Tunneling Zone, Scientific Reports (2022)
18. Renovating Nanocomposite Design: A Novel Conductivity Model for Polymer Graphene Systems Incorporating Interphase and Tunneling Zones, Polymer Composites (2025)
19. Effect of Contact Resistance on the Electrical Conductivity of Polymer Graphene Nanocomposites to Optimize the Biosensors Detecting Breast Cancer Cells, Scientific Reports (2022)
20. Modeling of Electrical Conductivity for Graphene-Based Systems by Filler Morphology and Tunneling Length, Diamond and Related Materials (2023)
21. Development of Jang–Yin Model for Effectual Conductivity of Nanocomposite Systems by Simple Equations for the Resistances of Carbon Nanotubes, Interphase and Tunneling Section, European Physical Journal Plus (2021)
22. Optimizing Conductive Properties of Polymer Carbon Nanofiber Composites: Insights From an Extended Hui-Shia Model, Polymer Testing (2024)
23. Advancement of the Power-Law Model and Its Percolation Exponent for the Electrical Conductivity of a Graphene-Containing System As a Component in the Biosensing of Breast Cancer, Polymers (2022)
24. Electrical Conductivity of Graphene-Containing Composites by the Conduction and Volume Share of Networked Interphase and the Properties of Tunnels Applicable in Breast Cancer Sensors, Journal of Materials Science (2022)
25. A Novel Technique Including Two Steps for Modulus Prediction in Polymer Halloysite Nanotube Composites, Scientific Reports (2024)
26. Effective Conductivity of Carbon-Nanotube-Filled Systems by Interfacial Conductivity to Optimize Breast Cancer Cell Sensors, Nanomaterials (2022)
27. Assessment of Electrical Conductivity of Polymer Nanocomposites Containing a Deficient Interphase Around Graphene Nanosheet, Scientific Reports (2024)
28. Multiphase Approach for Calculation of Tunneling Conductivity of Graphene-Polymer Nanocomposites to Optimize Breast Cancer Biosensors, Composites Science and Technology (2023)
29. Supposition of Graphene Stacks to Estimate the Contact Resistance and Conductivity of Nanocomposites, Applied Mathematics and Mechanics (English Edition) (2024)
30. A Novel Approach to Predict the Electrical Conductivity of Nanocomposites by a Weak Interphase Around Graphene Network, Scientific Reports (2024)
31. From Nano to Macro in Graphene-Polymer Nanocomposites: A New Methodology for Conductivity Prediction, Colloids and Surfaces A: Physicochemical and Engineering Aspects (2024)
32. Predicting of Tunneling Resistivity Between Adjacent Nanosheets in Graphene–Polymer Systems, Scientific Reports (2023)
33. Multi-Scale Prediction of Effective Conductivity for Carbon Nanofiber Polymer Composites, Journal of Materials Research and Technology (2024)
34. Progressing of a Power Model for Electrical Conductivity of Graphene-Based Composites, Scientific Reports (2023)
35. Percolation Onset and Conductivity of Nanocomposites Assuming an Incomplete Dispersion of Graphene Nanosheets in a Polymer Matrix, Physical Chemistry Chemical Physics (2023)
36. Development and Simplification of a Micromechanic Model for Conductivity of Carbon Nanotubes-Reinforced Nanocomposites, Journal of Polymer Research (2021)
37. Percolation Onset and Electrical Conductivity for a Multiphase System Containing Carbon Nanotubes and Nanoclay, Journal of Materials Research and Technology (2021)
38. The Interphase Degradation in a Nanobiosensor Including Biopolymers and Carbon Nanotubes, Sensors and Actuators# A: Physical (2021)
39. Estimation of Average Contact Number of Carbon Nanotubes (Cnts) in Polymer Nanocomposites to Optimize the Electrical Conductivity, Engineering with Computers (2022)
40. Development of a Model for Modulus of Polymer Halloysite Nanotube Nanocomposites by the Interphase Zones Around Dispersed and Networked Nanotubes, Scientific Reports (2022)
41. Modeling of Electrical Conductivity for Polymer–Carbon Nanofiber Systems, Materials (2022)
42. A Modified Version of Conventional Halpin-Tsai Model for the Tensile Modulus of Polymer Halloysite Nanotube Nanocomposites by Filler Network and Nearby Interphase, Surfaces and Interfaces (2023)
43. Development of an Advanced Takayanagi Equation for the Electrical Conductivity of Carbon Nanotube-Reinforced Polymer Nanocomposites, Journal of Physics and Chemistry of Solids (2021)
44. Tuning of a Mechanics Model for the Electrical Conductivity of Cnt-Filled Samples Assuming Extended Cnt, European Physical Journal Plus (2022)
45. Influences of Defective Interphase and Contact Region Among Nanosheets on the Electrical Conductivity of Polymer Graphene Nanocomposites, Scientific Reports (2024)
46. Simulation of Young's Modulus for Clay-Reinforced Nanocomposites Assuming Mechanical Percolation, Clay-Interphase Networks and Interfacial Linkage, Journal of Materials Research and Technology (2020)
47. Progressing of Kovacs Model for Conductivity of Graphene-Filled Products by Total Contact Resistance and Actual Filler Amount, Engineering Science and Technology# an International Journal (2022)
48. Effect of Contact Number Among Graphene Nanosheets on the Conductivities of Tunnels and Polymer Composites, Scientific Reports (2023)
49. Advanced Modeling of Conductivity in Graphene–Polymer Nanocomposites: Insights Into Interface and Tunneling Characteristics, Carbon Letters (2024)
50. Advancement of a Model for Electrical Conductivity of Polymer Nanocomposites Reinforced With Carbon Nanotubes by a Known Model for Thermal Conductivity, Engineering with Computers (2022)