The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Supercurrents Through Single-Walled Carbon Nanotubes
Abstract
Proximity-induced superconductivity in single-walled carbon nanotubes below 1 kelvin, both in a single tube 1 nanometer in diameter and in crystalline ropes containing about 100 nanotubes, was observed. The samples were suspended between two superconducting electrodes, permitting structural study in a transmission electron microscope. When the resistance of the nanotube junction is sufficiently low, it becomes superconducting and can carry high supercurrents. The temperature and magnetic field dependence of the critical current of such junctions exhibits unusual features related to their strong one-dimensional character.
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Citations
Cites
Size, Shape, and Low Energy Electronic Structure of Carbon Nanotubes
Kane, C. L., & Mele, E. J. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.1932 · Cited by 1,048
Cited by
Specular Andreev Reflection in Graphene
Beenakker, C. W. J. (2006) · Physical Review Letters · doi:10.1103/physrevlett.97.067007 · Cited by 734
Proximity-Induced Superconductivity in DNA
Kasumov, A. Y., Kociak, M., Guéron, S., Reulet, B., Volkov, V. T., Klinov, D. V., & Bouchiat, H. (2001) · Science · doi:10.1126/science.291.5502.280 · Cited by 710
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Metadata
- Authors
- Kasumov, A. Y., Deblock, R., Kociak, M., Reulet, B., Bouchiat, H., Khodos, I. I., Gorbatov, Y. B., Volkov, V. T., Journet, C., & Burghard, M.
- Venue
- Science
- Published
- 1999-05-28
- Volume
- 284
- Issue
- 5419
- Pages
- 1508-1511
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2103584087
- Cited by
- 436
- References
- 1
- FWCI
- 17.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kasumov, A. Y., Deblock, R., Kociak, M., Reulet, B., Bouchiat, H., Khodos, I. I., Gorbatov, Y. B., Volkov, V. T., Journet, C., & Burghard, M. (1999). Supercurrents Through Single-Walled Carbon Nanotubes. Science. https://doi.org/10.1126/science.284.5419.1508
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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.
