@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}
}