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Resonant Electron Scattering by Defects in Single-Walled Carbon Nanotubes
Abstract
We report the characterization of defects in individual metallic single-walled carbon nanotubes by transport measurements and scanned gate microscopy. A sizable fraction of metallic nanotubes grown by chemical vapor deposition exhibits strongly gate voltage–dependent resistance at room temperature. Scanned gate measurements reveal that this behavior originates from resonant electron scattering by defects in the nanotube as the Fermi level is varied by the gate voltage. The reflection coefficient at the peak of a scattering resonance was determined to be about 0.5 at room temperature. An intratube quantum dot device formed by two defects is demonstrated by low-temperature transport measurements.
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Citations
Cited by
Chemically Functionalized Carbon Nanotubes
Balasubramanian, K., & Burghard, M. (2005) · Small · doi:10.1002/smll.200400118 · Cited by 1,769
Crystalline Silver Nanowires by Soft Solution Processing
Sun, Y., Gates, B., Mayers, B., & Xia, Y. (2002) · Nano Letters · doi:10.1021/nl010093y · Cited by 1,542
Peng, B., Locascio, M., Zapol, P., Li, S., Mielke, S. L., Schatz, G. C., & Espinosa, H. D. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.211 · Cited by 1,122
Magnetoresistance of nanoscale molecular devices based on Aharonov–Bohm interferometry
Hod, O., Baer, R., & Rabani, E. (2008) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/20/38/383201 · Cited by 40
Metadata
- Authors
- Bockrath, M., Liang, W., Bozovic, D., Hafner, J. H., Lieber, C. M., Tinkham, M., & Park, H.
- Venue
- Science
- Published
- 2001-01-12
- Volume
- 291
- Issue
- 5502
- Pages
- 283-285
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2017024661
- Cited by
- 420
- References
- 0
- FWCI
- 22.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bockrath, M., Liang, W., Bozovic, D., Hafner, J. H., Lieber, C. M., Tinkham, M., & Park, H. (2001). Resonant Electron Scattering by Defects in Single-Walled Carbon Nanotubes. Science. https://doi.org/10.1126/science.291.5502.283
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
