The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Capillarity-driven assembly of two-dimensional cellular carbon nanotube foams
Open accessAbstract
Capillary forces arising during the evaporation of liquids from dense carbon nanotube arrays are used to reassemble the nanotubes into two-dimensional contiguous cellular foams. The stable nanotube foams can be elastically deformed, transferred to other substrates, or floated out to produce free-standing macroscopic fabrics. The lightweight cellular foams made of condensed nanotubes could have applications as shock-absorbent structural reinforcements and elastic membranes. The ability to control the length scale, orientation, and shape of the cellular structures and the simplicity of the assembly process make this a particularly attractive system for studying pattern formation in ordered media.
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Cites
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Marangoni Effect Reverses Coffee-Ring Depositions
Hu, H., & Larson, R. G. (2006) · The Journal of Physical Chemistry B · doi:10.1021/jp0609232 · Cited by 1,645
Elastocapillary coalescence in wet hair
Bico, J., Roman, B., Moulin, L., & Boudaoud, A. (2004) · Nature · doi:10.1038/432690a · Cited by 462
Elastocapillary self-assembled neurotassels for stable neural activity recordings
Guan, S., Wang, J., Gu, X., Zhao, Y., Hou, R., Fan, H., Zou, L., Gao, L., Du, M., Li, C., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav2842 · Cited by 222
Metadata
- Authors
- Chakrapani, N., Wei, B., Carrillo, A., Ajayan, P. M., & Kane, R. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-03-11
- Volume
- 101
- Issue
- 12
- Pages
- 4009-4012
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2007550163
- Cited by
- 295
- References
- 17
- FWCI
- 9.17
- Type
- journal article
- Language
- en
- Open access
- green
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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.
