2009
DOI: 10.1103/physrevb.80.155435
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Numerical studies of variable-range hopping in one-dimensional systems

Abstract: Hopping transport in a one-dimensional system is studied numerically. A fast algorithm is devised to find the lowest-resistance path at arbitrary electric field. Probability distribution functions of individual resistances on the path and the net resistance are calculated and fitted to compact analytic formulas. Qualitative differences between statistics of resistance fluctuations in Ohmic and non-Ohmic regimes are elucidated. The results are compared with prior theoretical and experimental work on the subject… Show more

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Cited by 13 publications
(5 citation statements)
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“…The total voltage drop V across the sample is the sum of voltage drops η i − η j on the links. One can determine the optimal path by finding the sequence of sites that gives the smallest V for a given I [30].…”
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confidence: 99%
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“…The total voltage drop V across the sample is the sum of voltage drops η i − η j on the links. One can determine the optimal path by finding the sequence of sites that gives the smallest V for a given I [30].…”
mentioning
confidence: 99%
“…To find the optimal path, we use a modified Dijkstra algorithm [30], in which the "cost" of reaching site j starting from the source equals −η j . The latter is calculated recurrently using Eq.…”
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confidence: 99%
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“…Note that the geometrical constraint due to reducing dimensionality generally enhances fluctuations (see Ref. [19] and references therein), and leads ultimately to large non-self-averaging fluctuations in 1D [21].…”
Section: Reveals a Reentrance To Activated Behavior At Low T As The Amentioning
confidence: 99%