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.
| Author(s): | Ipparthi, Dhananjay and Winslow, Andrew and Sitti, Metin and Dorigo, Marco and Mastrangeli, Massimo |
| Journal: | Soft Matter |
| Volume: | 13 |
| Number (issue): | 41 |
| Pages: | 7595-7608 |
| Year: | 2017 |
| Bibtex Type: | Article (article) |
| DOI: | 10.1039/C7SM01189J |
| Electronic Archiving: | grant_archive |
BibTex
@article{C7SM01189J,
title = {Yield prediction in parallel homogeneous assembly},
journal = {Soft Matter},
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.},
volume = {13},
number = {41},
pages = {7595-7608},
year = {2017},
slug = {c7sm01189j},
author = {Ipparthi, Dhananjay and Winslow, Andrew and Sitti, Metin and Dorigo, Marco and Mastrangeli, Massimo}
}