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

Somnath Bhattacharya

doi:10.1016/j.physa.2019.01.090

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arXiv · 1806.10770

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

Somnath Bhattacharya

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Abstract

The Random Resistor cum Tunneling Network (RRTN) model was proposed from our group by considering an extra phenomenological (semi-classical) tunneling 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 $\tau_t$ and $\tau_s$), 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 {\it single} scale in time which controls the entire dynamics.

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Somnath Bhattacharya. 2018-06-28. Estimate of time-scale for the current relaxation of percolative Random Resistor cum Tunneling Network model. https://doi.org/10.1016/j.physa.2019.01.090

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