Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-03-02
Phys. Rev. E 80, 045101(R) (2009).
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 4 figures; Papers on related research can be found at http://www.rpi.edu/~korniss/Research/
Scientific paper
10.1103/PhysRevE.80.045101
We study the interplay between structural and conductivity (composite) disorder and the collective electrical response in random networks models. Translating the problem of time-dependent electrical response (resonance and transient relaxation) in binary random composite networks to the framework of generalized eigenvalues, we study and analyze the scaling behavior of the density of resonances in these structures. We found that by controlling the density of shortcuts (topological randomness) and/or the composite ratio of the binary links (conductivity disorder), one can effectively shape resonance landscapes, or suppress long transient delays in the corresponding random impedance networks.
Huang Rensheng
Korniss Gyorgy
Nayak Saroj K.
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