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Intertube Coupling in Ropes of Single-Wall Carbon Nanotubes
Open accessAbstract
We investigate the coupling between individual tubes in a rope of single-wall carbon nanotubes using four probe resistance measurements. By introducing defects through the controlled sputtering of the rope we generate a strong nonmonotonic temperature dependence of the four terminal resistance. This behavior reflects the interplay between localization in the intentionally damaged tubes and coupling to undamaged tubes in the same rope. Using a simple model we obtain the coherence length and the coupling resistance. The coupling mechanism is argued to involve direct tunneling between tubes.
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Cites
Electronic Transport in Mesoscopic Systems
Datta, S. (1995) · doi:10.1017/cbo9780511805776 · Cited by 7,704
Cited by
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Gómez-Navarro, C., Pablo, P. J. D., Gómez-Herrero, J., Biel, B., Garcia-Vidal, F. J., Rubio, A., & Flores, F. (2005) · Nature Materials · doi:10.1038/nmat1414 · Cited by 411
Where Does the Current Flow in Two-Dimensional Layered Systems?
Das, S., & Appenzeller, J. (2013) · Nano Letters · doi:10.1021/nl401831u · Cited by 268
Self-citationMassobrio, G., Massobrio, P., & Martinoia, S. (2008) · Nano Letters · doi:10.1021/nl802341r · Cited by 32
Metadata
- Authors
- Stahl, H., Appenzeller, J., Martel, R., Avouris, P., & Lengeler, B.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2000-12-11
- Volume
- 85
- Issue
- 24
- Pages
- 5186-5189
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2076005872
- Cited by
- 245
- References
- 1
- FWCI
- 8.49
- Type
- journal article
- Language
- en
- Open access
- green
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- Stahl, H., Appenzeller, J., Martel, R., Avouris, P., & Lengeler, B. (2000). Intertube Coupling in Ropes of Single-Wall Carbon Nanotubes. Physical Review Letters. https://doi.org/10.1103/physrevlett.85.5186
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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.
