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A black body absorber from vertically aligned single-walled carbon nanotubes

Open access
Mizuno, Kohei, Ishii, Juntaro, Kishida, Hideo, Hayamizu, Yuhei, Yasuda, Satoshi, Futaba, Don N., Yumura, Motoo, Hata, Kenji·2009·Proceedings of the National Academy of Sciences

Abstract

Among all known materials, we found that a forest of vertically aligned single-walled carbon nanotubes behaves most similarly to a black body, a theoretical material that absorbs all incident light. A requirement for an object to behave as a black body is to perfectly absorb light of all wavelengths. This important feature has not been observed for real materials because materials intrinsically have specific absorption bands because of their structure and composition. We found a material that can absorb light almost perfectly across a very wide spectral range (0.2–200 μm). We attribute this black body behavior to stem from the sparseness and imperfect alignment of the vertical single-walled carbon nanotubes.

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Metadata

Authors
Mizuno, K., Ishii, J., Kishida, H., Hayamizu, Y., Yasuda, S., Futaba, D. N., Yumura, M., & Hata, K.
Venue
Proceedings of the National Academy of Sciences
Published
2009-04-14
Volume
106
Issue
15
Pages
6044-6047
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2088471061
Cited by
782
References
0
FWCI
81.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A black body absorber from vertically aligned single-walled carbon nanotubes. https://app.cochat.ai/papers/10.1073/pnas.0900155106
The paper
Mizuno, K., Ishii, J., Kishida, H., Hayamizu, Y., Yasuda, S., Futaba, D. N., Yumura, M., & Hata, K. (2009). A black body absorber from vertically aligned single-walled carbon nanotubes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0900155106

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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.