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Cited by 914

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Nanotechnology with Soft Materials

Hamley, I. W.·2003·Angewandte Chemie International Edition

Abstract

Nature exploits self‐organization of soft materials in many ways, to produce cell membranes, biopolymer fibers and viruses, to name just three. Mankind is now able to design materials at the nanoscale, whether through atom‐by‐atom or molecule‐by‐molecule methods (top‐down) or through self‐organization (bottom‐up). The latter method encompasses soft nanotechnology. Self‐organization of soft materials can be exploited to create a panoply of nanostructures for diverse applications. The richness of structures results from the weak ordering because of noncovalent interactions. Thus, thermal energy is important as it enables transitions between phases with differing degrees of order. The power of self‐organization may be harnessed most usefully in a number of nanotechnology applications, which include the preparation of nanoparticles, the templating of nanostructures, nanomotor design, the exploitation of biomineralization, and the development of functionalized delivery vectors.

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Crossref · 10.1002/anie.200200546

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Metadata

Authors
Hamley, I. W.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2003-04-16
Volume
42
Issue
15
Pages
1692-1712
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2146988816
Cited by
914
References
4
FWCI
33.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanotechnology with Soft Materials. https://app.cochat.ai/papers/10.1002/anie.200200546
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Hamley, I. W. (2003). Nanotechnology with Soft Materials. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200200546

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.