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Estimate of time-scale for the current relaxation of percolative Random Resistor cum Tunnelling Network model

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  • Bhattacharya, Somnath

Abstract

The Random Resistor cum Tunnelling Network (RRTN) model was proposed from our group by considering an extra phenomenological (semi-classical) tunnelling process into a classical RRN bond percolation model. We earlier reported about early-stage two inverse power-laws, followed by large time purely exponential tail in some of the RRTN macroscopic current relaxations. In this paper, we investigate on the broader perspective of current relaxation. We present here an analytical argument behind the strong convergence (irrespective of initial voltage configuration) of the bulk current towards its steady-state, mapping the problem into a special kind of Gauss–Seidel method. We find two phenomenological time-scales (referred as τt and τs), those emerge from the variation of macroscopic quantities during current dynamics. We show that not both, only one of them is independent. Thus there exists a single scale in time which controls the entire dynamics.

Suggested Citation

  • Bhattacharya, Somnath, 2019. "Estimate of time-scale for the current relaxation of percolative Random Resistor cum Tunnelling Network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 113-120.
    • Handle: RePEc:eee:phsmap:v:521:y:2019:i:c:p:113-120
    DOI: 10.1016/j.physa.2019.01.090
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