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Nanocomposites Derived from Polymers and Inorganic Nanoparticles
Open accessAbstract
Polymers are considered to be good hosting matrices for composite materials because they can easily be tailored to yield a variety of bulk physical properties. Moreover, organic polymers generally have long-term stability and good processability. Inorganic nanoparticles possess outstanding optical, catalytic, electronic and magnetic properties, which are significantly different their bulk states. By combining the attractive functionalities of both components, nanocomposites derived from organic polymers and inorganic nanoparticles are expected to display synergistically improved properties. The potential applications of the resultant nanocomposites are various, e.g. automotive, aerospace, opto-electronics, etc. Here, we review recent progress in polymer-based inorganic nanoparticle composites.
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Cites
VII. Colours in metal glasses, in metallic films, and in metallic solutions.—II
Garnett, J. C. M. (1906) · Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1906.0007 · Cited by 1,246
Cited by
Shankar, S., Wang, L.-F., & Rhim, J.-W. (2018) · Materials Science and Engineering: C · doi:10.1016/j.msec.2018.08.002 · Cited by 369
Metadata
- Authors
- Jeon, I.-Y., & Baek, J.-B.
- Venue
- Materials
- Publisher
- MDPI AG
- Published
- 2010-06-14
- Volume
- 3
- Issue
- 6
- Pages
- 3654-3674
- ISSN
- 1996-1944 (ISSN-L)
- OpenAlex
- W2100189797
- Cited by
- 513
- References
- 1
- FWCI
- 10.99
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jeon, I.-Y., & Baek, J.-B. (2010). Nanocomposites Derived from Polymers and Inorganic Nanoparticles. Materials. https://doi.org/10.3390/ma3063654
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
