The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Template-Grown Metal Nanowires
Abstract
The growth of metal nanowires using membranes as hard templates is reviewed. The method provides access to arrays of single-crystal metal nanowires and to quasi-one-dimensional metal nanostructures with controlled compositional variation along their length. Recent applications of these kinds of nanowires to problems in superconductivity, optical spectroscopy and sensing, and catalytic conversion of chemical to mechanical energy are reviewed.
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Cites
Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen
Mie, G. (1908) · Annalen der Physik · doi:10.1002/andp.19083300302 · Cited by 11,537
Yildiz, A., Tomishige, M., Vale, R. D., & Selvin, P. R. (2004) · Science · doi:10.1126/science.1093753 · Cited by 965
Cited by
Programming the detection limits of biosensors through controlled nanostructuring
Soleymani, L., Fang, Z., Sargent, E. H., & Kelley, S. O. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.276 · Cited by 414
Koenigsmann, C., & Wong, S. S. (2011) · Energy Environ. Sci. · doi:10.1039/c0ee00197j · Cited by 392
Using Cylindrical Domains of Block Copolymers To Self-Assemble and Align Metallic Nanowires
Chai, J., & Buriak, J. M. (2008) · ACS Nano · doi:10.1021/nn700341s · Cited by 317
Metadata
- Authors
- Kline, T. R., Tian, M., Wang, J., Sen, A., Chan, M. W. H., & Mallouk, T. E.
- Venue
- Inorganic Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-09-01
- Volume
- 45
- Issue
- 19
- Pages
- 7555-7565
- ISSN
- 0020-1669 (ISSN-L)
- 1520-510X
- OpenAlex
- W2094711167
- Cited by
- 201
- References
- 2
- FWCI
- 12.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kline, T. R., Tian, M., Wang, J., Sen, A., Chan, M. W. H., & Mallouk, T. E. (2006). Template-Grown Metal Nanowires. Inorganic Chemistry. https://doi.org/10.1021/ic0601384
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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.
