Physical Intelligence
Associate Professor (Tenured) at Delft University of Technology, Netherlands
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 |
| Month: | June |
| 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},
month = jun,
year = {2017},
author = {Ipparthi, Dhananjay and Winslow, Andrew and Sitti, Metin and Dorigo, Marco and Mastrangeli, Massimo},
doi = {10.1039/C7SM01189J},
month_numeric = {6}
}