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Mastering molecular matter. Supramolecular architectures by hierarchical self-assembly

Elemans, Johannes A. A. W., Rowan, Alan E., Nolte, Roeland J. M.·2003·J. Mater. Chem.

Abstract

Since the serendipitous event that led to the first synthesis of a molecule by the hands of Man in 1826, the creation of molecular matter depended for 150 years on linking together molecules from other molecular building blocks with the help of strong covalent bonds. The advent of supramolecular chemistry in the last decades of the 20th century has provided chemists with a wealth of new possibilities to synthesize molecular structures and materials that are held together by relatively weak, non-covalent interactions, such as hydrogen bonding, π–π stacking, electrostatic and van der Waals interactions. Using nature as a source of inspiration, the creation of even more complex supramolecular architectures has recently become possible by applying the concept of hierarchical self-assembly, i.e. the non-covalent organization of molecules and macromolecules which takes places over distinct multiple levels, in which the assembly processes gradually decrease in strength. This review will focus on some recent discoveries in the field of spontaneous hierarchical organization of synthetic amphiphiles, disk-like molecules and concave building blocks into well-defined nano-sized assemblies.

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Metadata

Authors
Elemans, J. A. A. W., Rowan, A. E., & Nolte, R. J. M.
Venue
J. Mater. Chem.
Published
2003
Volume
13
Issue
11
Pages
2661-2670
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W1787782204
Cited by
473
References
0
FWCI
12.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mastering molecular matter. Supramolecular architectures by hierarchical self-assembly. https://app.cochat.ai/papers/10.1039/b304972h
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Elemans, J. A. A. W., Rowan, A. E., & Nolte, R. J. M. (2003). Mastering molecular matter. Supramolecular architectures by hierarchical self-assembly. J. Mater. Chem. https://doi.org/10.1039/b304972h

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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