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Cited by 219

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

Degree of molecular self-sorting in multicomponent systems

Lal Saha, Manik, Schmittel, Michael·2012·Organic & Biomolecular Chemistry

Abstract

Self-sorting represents the spontaneous and high fidelity self and/or non-self-recognition of two or more related components within a complex mixture. While the effective management of self-sorting principles perceptibly requires some key expertise in molecular programming, at a higher stage of operation it is of supreme interest to guide the process to increasingly higher degrees of self-sorting. In this article, we present the emerging principles of how to guide several components toward formation of self-sorted multicomponent architectures. To provide further guidance in denominating such systems, we suggest to utilise a systematic classification as well as a formula to evaluate their degree of self-sorting (M).

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Metadata

Authors
Lal Saha, M., & Schmittel, M.
Venue
Organic & Biomolecular Chemistry
Published
2012
Volume
10
Issue
24
Pages
4651
ISSN
  • 1477-0520 (ISSN-L)
  • 1477-0539
OpenAlex
W2086359315
Cited by
219
References
1
FWCI
9.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Degree of molecular self-sorting in multicomponent systems. https://app.cochat.ai/papers/10.1039/c2ob25098e
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Lal Saha, M., & Schmittel, M. (2012). Degree of molecular self-sorting in multicomponent systems. Organic & Biomolecular Chemistry. https://doi.org/10.1039/c2ob25098e

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.