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Issue 41, 2017
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Yield prediction in parallel homogeneous assembly

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Abstract

We investigate the parallel assembly of two-dimensional, geometrically-closed modular target structures out of homogeneous sets of macroscopic components of varying anisotropy. The yield predicted by a chemical reaction network (CRN)-based model is quantitatively shown to reproduce experimental results over a large set of conditions. Scaling laws for parallel assembling systems are then derived from the model. By extending the validity of the CRN-based modelling, this work prompts analysis and solutions to the incompatible substructure problem.

Graphical abstract: Yield prediction in parallel homogeneous assembly

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Article information


Submitted
15 Jun 2017
Accepted
19 Sep 2017
First published
19 Sep 2017

This article is Open Access

Soft Matter, 2017,13, 7595-7608
Article type
Paper

Yield prediction in parallel homogeneous assembly

D. Ipparthi, A. Winslow, M. Sitti, M. Dorigo and M. Mastrangeli, Soft Matter, 2017, 13, 7595
DOI: 10.1039/C7SM01189J

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

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