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Cited by 631

The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.

Development of Structural Complexity by Liquid‐Crystal Self‐assembly

Tschierske, Carsten·2013·Angewandte Chemie International Edition

Abstract

Since the discovery of the liquid‐crystalline state of matter 125 years ago, this field has developed into a scientific area with many facets. This Review presents recent developments in the molecular design and self‐assembly of liquid crystals. The focus is on new exciting soft‐matter structures distinct from the usually observed nematic, smectic, and columnar phases. These new structures have enhanced complexity, including multicompartment and cellular structures, periodic and quasiperiodic arrays of spheres, and new emergent properties, such as ferroelctricity and spontaneous achiral symmetry‐breaking. Comparisons are made with developments in related fields, such as self‐assembled monolayers, multiblock copolymers, and nanoparticle arrays. Measures of structural complexity used herein are the size of the lattice, the number of distinct compartments, the dimensionality, and the logic depth of the resulting supramolecular structures.

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Metadata

Authors
Tschierske, C.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2013-08-09
Volume
52
Issue
34
Pages
8828-8878
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2145084011
Cited by
631
References
185
FWCI
17.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of Structural Complexity by Liquid‐Crystal Self‐assembly. https://app.cochat.ai/papers/10.1002/anie.201300872
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Tschierske, C. (2013). Development of Structural Complexity by Liquid‐Crystal Self‐assembly. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201300872

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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.