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A method of printing carbon nanotube thin films
Abstract
This paper describes a fabrication method for carbon nanotube thin films on various substrates including PET (polyethylene terephthalate), glass, polymethyl-methacrylate (PMMA), and silicon. The method combines a polydimethysiloxane (PDMS) based transfer-printing technique with vacuum filtration, and allows controlled deposition—and patterning if needed—of large area highly conducting carbon nanotube films with high homogeneity. In the visible and infrared range, the performance characteristics of fabricated films are comparable to that of indium tin oxide (ITO) on flexible substrates.
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Citations
Cited by
Zhang, D., Ryu, K., Liu, X., Polikarpov, E., Ly, J., Tompson, M. E., & Zhou, C. (2006) · Nano Letters · doi:10.1021/nl0608543 · Cited by 1,011
Organic solar cells with carbon nanotube network electrodes
Rowell, M. W., Topinka, M. A., McGehee, M. D., Prall, H.-J., Dennler, G., Sariciftci, N. S., Hu, L., & Gruner, G. (2006) · Applied Physics Letters · doi:10.1063/1.2209887 · Cited by 1,010
Self-citationRecent Advances in Research on Carbon Nanotube–Polymer Composites
Byrne, M. T., & Gun'ko, Y. K. (2010) · Advanced Materials · doi:10.1002/adma.200901545 · Cited by 873
Carbon Nanotube Field‐Effect‐Transistor‐Based Biosensors
Allen, B. L., Kichambare, P. D., & Star, A. (2007) · Advanced Materials · doi:10.1002/adma.200602043 · Cited by 782
Micro- and Nanopatterning Techniques for Organic Electronic and Optoelectronic Systems
Menard, E., Meitl, M. A., Sun, Y., Park, J.-U., Shir, D. J.-L., Nam, Y.-S., Jeon, S., & Rogers, J. A. (2007) · Chemical Reviews · doi:10.1021/cr050139y · Cited by 658
Metadata
- Authors
- Zhou, Y., Hu, L., & Grüner, G.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2006-03-20
- Volume
- 88
- Issue
- 12
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W1999673924
- Cited by
- 418
- References
- 0
- FWCI
- 30.03
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.