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Carbon Nanotubes
Abstract
Carbon is an extraordinary element, considering the diversity of materials it forms. Ranging from sparkling gems to sooty filth, these materials have been studied and used for centuries, and carbon science was long thought to be a mature field. So when a whole new class of carbon materials—the fullerenes, such as C60—appeared in the last decade, many scientists were surprised. The consequences have reached well beyond the fullerenes themselves to include major changes in our concepts and understanding of long-known carbon materials. It is in this context that the story of carbon nanotubes starts.
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Citations
Cited by
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
Shah, K. A., & Tali, B. A. (2016) · Materials Science in Semiconductor Processing · doi:10.1016/j.mssp.2015.08.013 · Cited by 622
Effective Low-Energy Theory for Correlated Carbon Nanotubes
Egger, R., & Gogolin, A. O. (1997) · Physical Review Letters · doi:10.1103/physrevlett.79.5082 · Cited by 526
Cai, Y., Jiang, G., Liu, J., & Zhou, Q. (2003) · Analytical Chemistry · doi:10.1021/ac0263566 · Cited by 503
Metadata
- Authors
- Ebbesen, T. W.
- Venue
- Physics Today
- Publisher
- AIP Publishing
- Published
- 1996-06-01
- Volume
- 49
- Issue
- 6
- Pages
- 26-32
- ISSN
- 0031-9228 (ISSN-L)
- 1945-0699
- OpenAlex
- W4246331894
- Cited by
- 314
- References
- 0
- FWCI
- 25.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Carbon Nanotubes. https://app.cochat.ai/papers/10.1063/1.881603
- The paper
- Ebbesen, T. W. (1996). Carbon Nanotubes. Physics Today. https://doi.org/10.1063/1.881603
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
