Yield prediction in parallel homogeneous assembly.
basic_science · Level V
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- Record sourced from PubMed, PMID 28975956.
- Also identified by DOI 10.1039/c7sm01189j.
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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.