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Issue 35, 2020
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A supramolecular aggregation-based constitutional dynamic network for information processing

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Abstract

Concepts and strategies offered by constitutional dynamic chemistry (CDC) hold great promise for designing molecular computing systems adaptive to external environments. Despite demonstrable success in storing and processing chemical information using CDC, further employment of such constitutional dynamic networks (CDNs) for processing more complex digital information has not been realized yet. Herein, we introduced a supramolecular CDN based on the aggregation of cyanine MTC (Agg-CDN), which is composed of four reversibly interconvertible constituents, i.e. monomers, dimers, J-aggregates, and H-aggregates. We demonstrated that the equilibrated Agg-CDN is reconfigurable through constituent exchange in response to well-defined chemical inputs. More importantly, the equilibrated states of the Agg-CDN are spectroscopically distinguishable because of the unique optical properties of MTC. We further tuned the Agg-CDN to at least nine unique states for transforming the chemical inputs into digital outputs, and successfully employed it for encoding and encrypting complex digital information, such as multi-pixel images.

Graphical abstract: A supramolecular aggregation-based constitutional dynamic network for information processing

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Supplementary files

Article information


Submitted
18 Jun 2020
Accepted
20 Aug 2020
First published
21 Aug 2020

This article is Open Access
All publication charges for this article have been paid for by the Royal Society of Chemistry

Chem. Sci., 2020,11, 9617-9622
Article type
Edge Article

A supramolecular aggregation-based constitutional dynamic network for information processing

X. Lin, S. Yang, D. Huang, C. Guo, D. Chen, Q. Yang and F. Li, Chem. Sci., 2020, 11, 9617
DOI: 10.1039/D0SC03392H

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    [Original citation] - Published by The Royal Society of Chemistry.

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