Topological properties of a self-assembled electrical network via ab initio calculation
- PMID: 28155863
- PMCID: PMC5290745
- DOI: 10.1038/srep41621
Topological properties of a self-assembled electrical network via ab initio calculation
Abstract
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.
Conflict of interest statement
The authors declare no competing financial interests.
Figures
References
-
- Yoshida S., Akita M., Morimoto T., Ushio T. & Kawasaki Z. Propagation characteristics of lightning stepped leaders developing in charge regions and descending out of charge regions. Atmospheric Research 106, 86–92 (2012).
-
- Shi W., Li Q. & Zhang L. A stepped leader model for lightning including charge distribution in branched channels. Journal of Applied Physics 116, (2014).
-
- Cai L., Tabata H. & Kawai T. Self-assembled dna networks and their electrical conductivity. Applied Physics Letters 77, (2000).
-
- Buzsàki G. & Draguhn A. Neuronal oscillations in cortical networks. Science 304, 1926–1929 (2004). - PubMed
-
- Rohden M., Sorge A., Witthaut D. & Timme M. Impact of network topology on synchrony of oscillatory power grids. Chaos 24 (2014). - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Other Literature Sources
