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Cited by 199

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

From soft to hard: the generation of functional and complex colloidal monolayers for nanolithography

Vogel, Nicolas, Weiss, Clemens K., Landfester, Katharina·2012·Soft Matter

Abstract

Take polymer colloids—simple to make and ubiquitously available—let them self-assemble into a monolayer and you have, readily engineered, a sophisticated mask to create highly symmetric surface patterns with nanometre precision. Thirty years after its invention, this process, commonly referred to as colloidal lithography, is far from being old news and an ever-increasing range of scientists continues to use their creativity to come up with increasingly more complex surface patterns. As intriguing this technique is, the devil is in the details and it is far from trivial to achieve high order in a colloidal monolayer. This article reviews available crystallization techniques and discusses their scope and limitations in order to provide just the right method for your next experiment.

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Crossref · 10.1039/c1sm06650a

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Metadata

Authors
Vogel, N., Weiss, C. K., & Landfester, K.
Venue
Soft Matter
Published
2012
Volume
8
Issue
15
Pages
4044-4061
ISSN
  • 1744-683X (ISSN-L)
  • 1744-6848
OpenAlex
W2073605818
Cited by
199
References
2
FWCI
9.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: From soft to hard: the generation of functional and complex colloidal monolayers for nanolithography. https://app.cochat.ai/papers/10.1039/c1sm06650a
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Vogel, N., Weiss, C. K., & Landfester, K. (2012). From soft to hard: the generation of functional and complex colloidal monolayers for nanolithography. Soft Matter. https://doi.org/10.1039/c1sm06650a

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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.