Literature DB >> 23519025

The viability and limitations of percolation theory in modeling the electrical behavior of carbon nanotube-polymer composites.

S Xu1, O Rezvanian, K Peters, M A Zikry.   

Abstract

A new modeling method has been proposed to investigate how the electrical conductivity of carbon nanotube (CNT) reinforced polymer composites are affected by tunneling distance, volume fraction, and tube aspect ratios. A search algorithm and an electrical junction identification method was developed with a percolation approach to determine conductive paths for three-dimensional (3D) carbon nanotube arrangements and to account for electron tunneling effects. The predicted results are used to understand the limitations of percolation theory and experimental measurements and observations, and why percolation theory breaks down for specific CNT arrangements.

Entities:  

Year:  2013        PMID: 23519025     DOI: 10.1088/0957-4484/24/15/155706

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  4 in total

1.  Highly Sensitive and Stretchable Strain Sensor Based on Ag@CNTs.

Authors:  Qiang Zhang; Lihua Liu; Dong Zhao; Qianqian Duan; Jianlong Ji; Aoqun Jian; Wendong Zhang; Shengbo Sang
Journal:  Nanomaterials (Basel)       Date:  2017-12-04       Impact factor: 5.076

2.  Electroconductive Composites from Polystyrene Block Copolymers and Cu-Alumina Filler.

Authors:  QuratulAin Nadeem; Tasneem Fatima; Pepijn Prinsen; Aziz Ur Rehman; Rohama Gill; Rashid Mahmood; Rafael Luque
Journal:  Materials (Basel)       Date:  2016-12-07       Impact factor: 3.623

3.  Flexible Strain Sensor Based on Carbon Black/Silver Nanoparticles Composite for Human Motion Detection.

Authors:  Weiyi Zhang; Qiang Liu; Peng Chen
Journal:  Materials (Basel)       Date:  2018-09-27       Impact factor: 3.623

4.  Fabrication and Conductive Mechanism Analysis of Stretchable Electrodes Based on PDMS-Ag Nanosheet Composite with Low Resistance, Stability, and Durability.

Authors:  Chengwei Li; Kai Huang; Tingkang Yuan; Tianze Cong; Zeng Fan; Lujun Pan
Journal:  Nanomaterials (Basel)       Date:  2022-07-30       Impact factor: 5.719

  4 in total

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