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.


Published in:
Soft Matter, 13, 7595-7608
Year:
2017
Publisher:
Royal Society of Chemistry
ISSN:
1744-683X
Keywords:
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 Record created 2017-10-11, last modified 2018-03-17

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