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Cited by 475

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Learning from “Coffee Rings”: Ordered Structures Enabled by Controlled Evaporative Self‐Assembly

Han, Wei, Lin, Zhiqun·2012·Angewandte Chemie International Edition

Abstract

Research into the evaporation of solutions is not only aimed at a better understanding the physics of evaporation, but increasingly at capitalizing on the extremely simple method it offers to assemble diverse nonvolatile solutes into complex ordered structures on the submicron and longer length scales. This Review highlights recent advances in evaporative assembly of confined solutions, focusing especially on recently developed approaches that provide structures with unprecedented regularity composed of polymers, nanoparticles, and biomaterials, by controlled evaporation‐driven, flow‐aided self‐assembly. A broad range of variables that can control the deposition are explored and the future directions of this rich field are presented.

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Crossref · 10.1002/anie.201104454

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Metadata

Authors
Han, W., & Lin, Z.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2011-12-23
Volume
51
Issue
7
Pages
1534-1546
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W1998481759
Cited by
475
References
1
FWCI
28.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Learning from “Coffee Rings”: Ordered Structures Enabled by Controlled Evaporative Self‐Assembly. https://app.cochat.ai/papers/10.1002/anie.201104454
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Han, W., & Lin, Z. (2012). Learning from “Coffee Rings”: Ordered Structures Enabled by Controlled Evaporative Self‐Assembly. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201104454

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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.