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Cited by 489

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Advanced functional materials based on polyhedral oligomeric silsesquioxane (POSS)

Tanaka, Kazuo, Chujo, Yoshiki·2012·J. Mater. Chem.

Abstract

Polysilsesquioxanes are regarded as organic–inorganic hybrid materials at a molecular level. We can readily tune the properties of the materials for realizing the desired ones by changing the contents or types of organic components. In addition, the hierarchical structures have potential for generating further characteristics distinctly different from those of the constituents. From this viewpoint, polyhedral oligomeric silsesquioxane (POSS) is attractive as a cornerstone in highly ordered materials. In this review, we survey recent studies on modified POSS-based functional materials and particularly explain the design concepts for applying the significant characteristics of POSS for the material properties. In the initial sections, we introduce the examples concerning intrinsic properties of POSS such as thermal stability, mechanical property, and structural features. In the latter sections, we describe the application of POSS-based materials for bio-relating functional materials. We describe the validity of POSS for molecular designing of the advanced imaging tools.

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Metadata

Authors
Tanaka, K., & Chujo, Y.
Venue
J. Mater. Chem.
Published
2012
Volume
22
Issue
5
Pages
1733-1746
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2137323283
Cited by
489
References
84
FWCI
15.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advanced functional materials based on polyhedral oligomeric silsesquioxane (POSS). https://app.cochat.ai/papers/10.1039/c1jm14231c
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Tanaka, K., & Chujo, Y. (2012). Advanced functional materials based on polyhedral oligomeric silsesquioxane (POSS). J. Mater. Chem. https://doi.org/10.1039/c1jm14231c

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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.