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Cited by 558

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Surface modification of nanoscale fillers for improving properties of polymer nanocomposites: A review

Rong, M. Z., Zhang, M. Q., Ruan, W. H.·2006·Materials Science and Technology

Abstract

Direct incorporation of inorganic nanoscale building blocks into polymers represents a typical way for preparing polymeric nanocomposites. The most important aspect in preparation of nanocomposites through dispersive blending is surface modification of the nanofillers. It is able to increase hydrophobicity of the fillers, enhance interfacial adhesion via chain entanglement or chemical bonding and eliminate the loosen structure of filler agglomerates. The present paper reviews the state of the art of nanoparticles/polymer composites, including the specific surface pretreatment techniques and their applications. Especially, the role of treated nanoparticles and the mechanisms involved in the improvement of mechanical properties and wear resistance of the composites are highlighted.

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Crossref · 10.1179/174328406x101247

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Metadata

Authors
Rong, M. Z., Zhang, M. Q., & Ruan, W. H.
Venue
Materials Science and Technology
Published
2006-07
Volume
22
Issue
7
Pages
787-796
ISSN
  • 0267-0836 (ISSN-L)
  • 1743-2847
OpenAlex
W1964927587
Cited by
558
References
15
FWCI
11.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Surface modification of nanoscale fillers for improving properties of polymer nanocomposites: A review. https://app.cochat.ai/papers/10.1179/174328406x101247
The paper
Rong, M. Z., Zhang, M. Q., & Ruan, W. H. (2006). Surface modification of nanoscale fillers for improving properties of polymer nanocomposites: A review. Materials Science and Technology. https://doi.org/10.1179/174328406x101247

Data sources

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.