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Cited by 196

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

Self-recognition and self-selection in multicomponent supramolecular coordination networks on surfaces

Open access
Langner, Alexander, Tait, Steven L., Lin, Nian, Rajadurai, Chandrasekar, Ruben, Mario, Kern, Klaus·2007·Proceedings of the National Academy of Sciences

Abstract

Self-recognition, self-selection, and dynamic self-organization are of fundamental importance for the assembly of all supramolecular systems, but molecular-level information is not generally accessible. We present direct examples of these critical steps by using scanning tunneling microscopy to study mixtures of complementary organic ligands on a copper substrate. The ligands coordinate cooperatively with iron atoms to form well ordered arrays of rectangular multicomponent compartments whose size and shape can be deliberately tuned by selecting ligands of desired length from complementary ligand families. We demonstrate explicitly that highly ordered supramolecular arrays can be produced from redundant ligand mixtures by molecular self-recognition and -selection, enabled by efficient error correction and cooperativity, and show an example of failed self-selection due to error tolerance in the ligand mixture, leading to a disordered structure.

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Metadata

Authors
Langner, A., Tait, S. L., Lin, N., Rajadurai, C., Ruben, M., & Kern, K.
Venue
Proceedings of the National Academy of Sciences
Published
2007-11-13
Volume
104
Issue
46
Pages
17927-17930
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2021123019
Cited by
196
References
1
FWCI
13.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Self-recognition and self-selection in multicomponent supramolecular coordination networks on surfaces. https://app.cochat.ai/papers/10.1073/pnas.0704882104
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Langner, A., Tait, S. L., Lin, N., Rajadurai, C., Ruben, M., & Kern, K. (2007). Self-recognition and self-selection in multicomponent supramolecular coordination networks on surfaces. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0704882104

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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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