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Superconductivity in 4 Angstrom Single-Walled Carbon Nanotubes
Abstract
Investigation of the magnetic and transport properties of single-walled small-diameter carbon nanotubes embedded in a zeolite matrix revealed that at temperatures below 20 kelvin, 4 angstrom tubes exhibit superconducting behavior manifest as an anisotropic Meissner effect, with a superconducting gap and fluctuation supercurrent. The measured superconducting characteristics display smooth temperature variations owing to one-dimensional fluctuations, with a mean-field superconducting transition temperature of 15 kelvin. Statistical mechanic calculations based on the Ginzburg-Landau free-energy functional yield predictions that are in excellent agreement with the experiments.
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Cited by
Ordered porous materials for emerging applications
Davis, M. E. (2002) · Nature · doi:10.1038/nature00785 · Cited by 5,308
Georgakilas, V., Perman, J. A., Tucek, J., & Zboril, R. (2015) · Chemical Reviews · doi:10.1021/cr500304f · Cited by 2,147
Polymeric Biomaterials for Medical Implants and Devices
Teo, A. J. T., Mishra, A., Park, I., Kim, Y.-J., Park, W.-T., & Yoon, Y.-J. (2016) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.5b00429 · Cited by 778
Metadata
- Authors
- Tang, Z. K., Zhang, L., Wang, N., Zhang, X. X., Wen, G. H., Li, G. D., Wang, J. N., Chan, C. T., & Sheng, P.
- Venue
- Science
- Published
- 2001-06-29
- Volume
- 292
- Issue
- 5526
- Pages
- 2462-2465
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2003950316
- Cited by
- 816
- References
- 1
- FWCI
- 27.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tang, Z. K., Zhang, L., Wang, N., Zhang, X. X., Wen, G. H., Li, G. D., Wang, J. N., Chan, C. T., & Sheng, P. (2001). Superconductivity in 4 Angstrom Single-Walled Carbon Nanotubes. Science. https://doi.org/10.1126/science.1060470
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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.
