1998
DOI: 10.1103/physrevb.58.r7492
|View full text |Cite
|
Sign up to set email alerts
|

Percolation-dominated conductivity in a conjugated-polymer-carbon-nanotube composite

Abstract: We have made electrical measurements on a system using carbon nanotubes as the dopant material. A semiconjugated, organic polymer was mixed with carbon nanotubes to form a wholly organic composite. Composite formation from low to high nanotube concentration increases the conductivity dramatically by ten orders of magnitude, indicative of percolative behavior. Effective mobilities were calculated from the spacecharge regions of the current-voltage characteristics for the 0-8 % mass fractions. After an initial r… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
240
0
8

Year Published

2002
2002
2015
2015

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 431 publications
(259 citation statements)
references
References 14 publications
3
240
0
8
Order By: Relevance
“…͑1͒ gives percolation threshold p c = 0.20 wt %, t = 1.39, and 0.19 wt %, t = 0.97 for both acidtreated and pristine nanotubes, respectively, in which the exponent t is related to sample dimensionality, i.e., t Ϸ 1, t Ϸ 1.33, or 2.0 for one, two, or three dimensions, respectively. [31][32][33][34][35][36] The percolation threshold depends not only on polymer/ filler interaction but also on the particles shape of conductive filler, 36,37 particle spatial distribution, and polymer matrix morphology. 36,37 Furthermore, particles shape in conductive fillers depends on what so called packing factor, where the packing factor is defined as the maximum content of filler material in the volume of polymer matrix.…”
Section: Resultsmentioning
confidence: 99%
“…͑1͒ gives percolation threshold p c = 0.20 wt %, t = 1.39, and 0.19 wt %, t = 0.97 for both acidtreated and pristine nanotubes, respectively, in which the exponent t is related to sample dimensionality, i.e., t Ϸ 1, t Ϸ 1.33, or 2.0 for one, two, or three dimensions, respectively. [31][32][33][34][35][36] The percolation threshold depends not only on polymer/ filler interaction but also on the particles shape of conductive filler, 36,37 particle spatial distribution, and polymer matrix morphology. 36,37 Furthermore, particles shape in conductive fillers depends on what so called packing factor, where the packing factor is defined as the maximum content of filler material in the volume of polymer matrix.…”
Section: Resultsmentioning
confidence: 99%
“…During each Monte Carlo step, the "electron" is displaced randomly to an adjacent fibre, with the acceptance probability of such a move given by equation (6). If the fibres form a percolating network, the virtual "electron" will travel a large distance during its Monte Carlo walk; if not, the "electron" will tend to become trapped in the local pocket of fibres.…”
Section: Modelling Methodologymentioning
confidence: 99%
“…The formation of extended networks of particles dispersed in a fluid gives rise to a discontinuous change in the rheological [1][2][3][4][5] and electrical [6][7][8][9] properties of the dispersion at concentrations around the so-called percolation threshold. Historically, percolation theory was first used by Flory [10] to explain the phenomenon of gelation in thermosetting polymers.…”
Section: Introductionmentioning
confidence: 99%
“…Composites of conducting polymers with carbon nanotubes (CNTs) [1][2][3] have attracted considerable attention in the past few years because of their potential applications in polymer light emitting diodes [4,5], photovoltaic cells and photodiodes [6], field effect transistors [7], optical limiting devices [8], supercapacitors [9], sensors [10], etc. In fact, the extensive and exhaustive applications of CNTs in the field of polymer composites has perhaps exhilarated the scientific community to consider nanotubes as a part of the polymer family [11] rather than as a novel nanotechnology product.…”
Section: Introductionmentioning
confidence: 99%