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  5. Characterization of Transparent Conducting Carbon Nanotube Thin Films Prepared via Different Methods

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Article
English
2017

Characterization of Transparent Conducting Carbon Nanotube Thin Films Prepared via Different Methods

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English
2017
Sains Malaysiana
Vol 46 (7)
DOI: 10.17576/jsm-2017-4607-13

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Huda  Abdullah
Huda Abdullah

Universitie Kebangsaan Malaysia

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Iskandar Yahya
Li Theng Lee
Seri Mastura Mustaza
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Abstract

The fabrication and characterization of transparent conductors based on single walled carbon nanotube (SWCNT) thin films were carried out in controlled environment and its performance compared.Here, we demonstrate the fabrication of thin, transparent, optically homogeneous, electrically conducting films of metallic enriched single-walled carbon nanotubes via three different deposition techniques namely dip coating, vacuum filtration and Langmuir Blodgett.Optical characterization showed that the maximum transmittance, T M , in Vis region is ~ 96.3% and minimum surface roughness, R a ~ 4.87 nm achieved via Langmuir-Blodgett technique.I-V characteristics shows minimum sheet resistance, Rs ~ 3.62 × 10 3 Ω/sq and maximum conductivity, σ ~ 27.65 Ω -1 cm -1 for vacuum filtration technique.It is shown that SWCNT deposition technique significantly affects the optical and electrical characteristics of resulting thin films.Langmuir Blodgett method produced film with the lowest surface roughness of R a ~ 4.87 nm and uniform conductivity of σ ~ 0.025 Ω -1 cm -1 , whereas vacuum filtration method produced film with the highest surface roughness of R a ~ 12.83 nm and nonuniform conductivity, σ, ranging from ~ 0.199 to ~0.017 Ω -1 cm -1 depending on the film dimensions.

How to cite this publication

Iskandar Yahya, Li Theng Lee, Seri Mastura Mustaza, Huda Abdullah, Nowshad Amin (2017). Characterization of Transparent Conducting Carbon Nanotube Thin Films Prepared via Different Methods. Sains Malaysiana, 46(7), pp. 1103-1109, DOI: 10.17576/jsm-2017-4607-13.

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Publication Details

Type

Article

Year

2017

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Sains Malaysiana

DOI

10.17576/jsm-2017-4607-13

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