Issue 41, 2017

Yield prediction in parallel homogeneous assembly


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

Article information

Article type
15 Jun 2017
19 Sep 2017
First published
19 Sep 2017
This article is Open Access
Creative Commons BY license

Soft Matter, 2017,13, 7595-7608

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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