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Cited by 398

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Nanostructured ceramics by electrospinning

Ramaseshan, Ramakrishnan, Sundarrajan, Subramanian, Jose, Rajan, Ramakrishna, S.·2007·Journal of Applied Physics

Abstract

Nanostructured ceramics are attractive materials that find potential uses ranging from simple everyday applications like paints and pigments to sophisticated ones such as bioimaging, sensors, etc. The inability to economically synthesize nanoscale ceramic structures in a large scale and simultaneously achieve precise control of their size has restricted their real time application. Electrospinning is an efficient process that can fabricate nanofibers on an industrial scale. During the last 5 years, there has been remarkable progress in applying this process to the fabrication of ceramic nanorods and nanofibers. Ceramic nanofibers are becoming useful and niche materials in several applications owing to their surface dependant and size dependant properties. These advances are reviewed here. The various ceramic nanofiber systems that have been fabricated so far are presented. The physical and chemical property enhancements due to the nanosize have been discussed in detail and the various applications they fit into are outlined in this article.

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Metadata

Authors
Ramaseshan, R., Sundarrajan, S., Jose, R., & Ramakrishna, S.
Venue
Journal of Applied Physics
Published
2007-12-01
Volume
102
Issue
11
ISSN
  • 0021-8979 (ISSN-L)
  • 1089-7550
OpenAlex
W1993341983
Cited by
398
References
46
FWCI
8.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanostructured ceramics by electrospinning. https://app.cochat.ai/papers/10.1063/1.2815499
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Ramaseshan, R., Sundarrajan, S., Jose, R., & Ramakrishna, S. (2007). Nanostructured ceramics by electrospinning. Journal of Applied Physics. https://doi.org/10.1063/1.2815499

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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.