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Cited by 1,350

The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.

Nanocomposites: synthesis, structure, properties and new application opportunities

Open access
Camargo, Pedro Henrique Cury, Satyanarayana, Kestur Gundappa, Wypych, Fernando·2009·Materials Research

Abstract

Nanocomposites, a high performance material exhibit unusual property combinations and unique design possibilities. With an estimated annual growth rate of about 25% and fastest demand to be in engineering plastics and elastomers, their potential is so striking that they are useful in several areas ranging from packaging to biomedical applications. In this unified overview the three types of matrix nanocomposites are presented underlining the need for these materials, their processing methods and some recent results on structure, properties and potential applications, perspectives including need for such materials in future space mission and other interesting applications together with market and safety aspects. Possible uses of natural materials such as clay based minerals, chrysotile and lignocellulosic fibers are highlighted. Being environmentally friendly, applications of nanocomposites offer new technology and business opportunities for several sectors of the aerospace, automotive, electronics and biotechnology industries.

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Crossref · 10.1590/s1516-14392009000100002

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Metadata

Authors
Camargo, P. H. C., Satyanarayana, K. G., & Wypych, F.
Venue
Materials Research
Published
2009-03
Volume
12
Issue
1
Pages
1-39
ISSN
1516-1439 (ISSN-L)
OpenAlex
W1968807146
Cited by
1,350
References
179
FWCI
13.66
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Nanocomposites: synthesis, structure, properties and new application opportunities. https://app.cochat.ai/papers/10.1590/s1516-14392009000100002
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Camargo, P. H. C., Satyanarayana, K. G., & Wypych, F. (2009). Nanocomposites: synthesis, structure, properties and new application opportunities. Materials Research. https://doi.org/10.1590/s1516-14392009000100002

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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.