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Optimising Minimal Building Blocks for Addressable Self-Assembly

Madge, Jim; Miller, Mark A.

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Authors

Jim Madge



Abstract

Addressable structures are characterised by the set of unique components from which they are built and by the specific location that each component occupies. For an addressable structure to self-assemble, its constituent building blocks must be encoded with sufficient information to define their positions with respect to each other and to enable them to navigate to those positions. DNA, with its vast scope for encoding specific interactions, has been successfully used to synthesise addressable systems of several hundred components. In this work we examine the complementary question of the minimal requirements for building blocks to undergo addressable self-assembly driven by a controlled temperature quench. Our testbed is an idealised model of cubic particles patterned with attractive interactions. We introduce a scheme for optimising the interactions using a variant of basin-hopping and a negative design principle. The designed building blocks are tested dynamically in simple target structures to establish how their complexity affects the limits of reliable self-assembly.

Citation

Madge, J., & Miller, M. A. (2017). Optimising Minimal Building Blocks for Addressable Self-Assembly. Soft Matter, 13(42), 7780-7792. https://doi.org/10.1039/c7sm01646h

Journal Article Type Article
Acceptance Date Oct 2, 2017
Online Publication Date Oct 4, 2017
Publication Date Nov 14, 2017
Deposit Date Oct 2, 2017
Publicly Available Date Oct 2, 2018
Journal Soft Matter
Print ISSN 1744-683X
Electronic ISSN 1744-6848
Publisher Royal Society of Chemistry
Peer Reviewed Peer Reviewed
Volume 13
Issue 42
Pages 7780-7792
DOI https://doi.org/10.1039/c7sm01646h

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