Effect of the Chemical Functionalization on Charge Transport in Carbon Nanotubes at the Mesoscopic Scale

Nano Letters ◽  
2009 ◽  
Vol 9 (3) ◽  
pp. 940-944 ◽  
Author(s):  
Alejandro López-Bezanilla ◽  
François Triozon ◽  
Sylvain Latil ◽  
X. Blase ◽  
Stephan Roche
2015 ◽  
Vol 92 (7) ◽  
Author(s):  
Bikan Tan ◽  
Miroslav Hodak ◽  
Wenchang Lu ◽  
J. Bernholc

2018 ◽  
Vol 59 ◽  
pp. 156-163 ◽  
Author(s):  
Wei-Long Xu ◽  
Meng-Si Niu ◽  
Xiao-Yu Yang ◽  
Jin Xiao ◽  
Hong-Chun Yuan ◽  
...  

2019 ◽  
Author(s):  
Abeer O. Obeid ◽  
Fatma Al-Yusufy ◽  
Sama A Al-Aghbari ◽  
omar alshujaa ◽  
Yassin Gaber ◽  
...  

<p>The chemical functionalization of amino multi-walled carbon nanotubes (MWCNT-NH<sub>2</sub>) by selenium dioxide (SeO<sub>2</sub>) was used to produce Poly [MWCNT/Imidoselenium] composite. The prepared poly-composite was characterized by FTIR, SEM, TEM, XRD, UV, DSC and TGA. The DC electrical conductivity of poly-composite was 4.3×10<sup>-4</sup> S/cm due to the interaction between the nanotubes. </p>


Author(s):  
Tewfik Souier

In this chapter, the main scanning probe microscopy-based methods to measure the transport properties in advanced polymer-Carbon Nanotubes (CNT) nanocomposites are presented. The two major approaches to investigate the electrical and charge transport (i.e., Electrostatic Force Microscopy [EFM] and Current-Sensing Atomic Force Microscopy [CS-AFM]) are illustrated, starting from their basic principles. First, the authors show how the EFM-related techniques can be used to provide, at high spatial resolution, a three-dimensional representation CNT networks underneath the surface. This allows the studying of the role of nanoscopic features such as CNTs, CNT-CNT direct contact, and polymer-CNT junctions in determining the overall composite properties. Complementary, CS-AFM can bring insight into the transport mechanism by imaging the spatial distribution of currents percolation paths within the nanocomposite. Finally, the authors show how the CS-AFM can be used to quantify the surface/bulk percolation probability and the nanoscopic electrical conductivity, which allows one to predict the macroscopic percolation model.


2004 ◽  
Vol 13 (5) ◽  
pp. 1263-1267 ◽  
Author(s):  
Dibyendu S Bag ◽  
Rama Dubey ◽  
N Zhang ◽  
J Xie ◽  
V K Varadan ◽  
...  

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