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Topological properties of a self-assembled electrical network via ab initio calculation

Interacting electrical conductors self-assemble to form tree like networks in the presence of applied voltages or currents. Experiments have shown that the degree distribution of the steady state networks are identical over a wide range of network sizes. In this work we develop a new model of the se...

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Autores principales: Stephenson, C., Lyon, D., Hübler, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290745/
https://www.ncbi.nlm.nih.gov/pubmed/28155863
http://dx.doi.org/10.1038/srep41621
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author Stephenson, C.
Lyon, D.
Hübler, A.
author_facet Stephenson, C.
Lyon, D.
Hübler, A.
author_sort Stephenson, C.
collection PubMed
description Interacting electrical conductors self-assemble to form tree like networks in the presence of applied voltages or currents. Experiments have shown that the degree distribution of the steady state networks are identical over a wide range of network sizes. In this work we develop a new model of the self-assembly process starting from the underlying physical interaction between conductors. In agreement with experimental results we find that for steady state networks, our model predicts that the fraction of endpoints is a constant of 0.252, and the fraction of branch points is 0.237. We find that our model predicts that these scaling properties also hold for the network during the approach to the steady state as well. In addition, we also reproduce the experimental distribution of nodes with a given Strahler number for all steady state networks studied.
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spelling pubmed-52907452017-02-07 Topological properties of a self-assembled electrical network via ab initio calculation Stephenson, C. Lyon, D. Hübler, A. Sci Rep Article Interacting electrical conductors self-assemble to form tree like networks in the presence of applied voltages or currents. Experiments have shown that the degree distribution of the steady state networks are identical over a wide range of network sizes. In this work we develop a new model of the self-assembly process starting from the underlying physical interaction between conductors. In agreement with experimental results we find that for steady state networks, our model predicts that the fraction of endpoints is a constant of 0.252, and the fraction of branch points is 0.237. We find that our model predicts that these scaling properties also hold for the network during the approach to the steady state as well. In addition, we also reproduce the experimental distribution of nodes with a given Strahler number for all steady state networks studied. Nature Publishing Group 2017-02-03 /pmc/articles/PMC5290745/ /pubmed/28155863 http://dx.doi.org/10.1038/srep41621 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Stephenson, C.
Lyon, D.
Hübler, A.
Topological properties of a self-assembled electrical network via ab initio calculation
title Topological properties of a self-assembled electrical network via ab initio calculation
title_full Topological properties of a self-assembled electrical network via ab initio calculation
title_fullStr Topological properties of a self-assembled electrical network via ab initio calculation
title_full_unstemmed Topological properties of a self-assembled electrical network via ab initio calculation
title_short Topological properties of a self-assembled electrical network via ab initio calculation
title_sort topological properties of a self-assembled electrical network via ab initio calculation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290745/
https://www.ncbi.nlm.nih.gov/pubmed/28155863
http://dx.doi.org/10.1038/srep41621
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