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Advances in Colloidal Assembly: The Design of Structure and Hierarchy in Two and Three Dimensions

Vogel, Nicolas, Retsch, Markus, Fustin, Charles-André, del Campo, Aranzazu, Jonas, Ulrich·2015·Chemical Reviews
DOI 10.1021/cr400081d
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Abstract

This Review highlights the large number of methods to exploit colloidal assembly of comparably simple particles with nano- to micrometer dimensions in order to access complex structural hierarchies from nanoscopic over microscopic to macroscopic dimensions

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200 of 477 shown

Cited by

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Metadata

Authors
Vogel, N., Retsch, M., Fustin, C.-A., del Campo, A., & Jonas, U.
Venue
Chemical Reviews
Publisher
American Chemical Society (ACS)
Published
2015-06-22
Volume
115
Issue
13
Pages
6265-6311
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
DOI
10.1021/cr400081d
OpenAlex
W1644606359
Cited by
767
References
5
FWCI
3.34
Type
journal article
Language
en
Open access
closed
Funders
  • Deutsche Forschungsgemeinschaft (SFB840)
  • Seventh Framework Programme (213948-2)
  • Fonds De La Recherche Scientifique - FNRS

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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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.