Distribution Function of Mesoscopic Hopping Conductance
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Abstract
We study mesoscopic hopping conductance by computer simulation
distribution functions (DF). It is found that the distributions obtained by choosing randomly the chemical potentials (for a fixed impurity configuration), which corresponds to a typical experimental situation, coincide with those obtained when both impurity configuration and chemical potential are chosen randomly, in agreement with the ergodicity hypothesis. The DFs in shape obtained for one-dimensional systems are found to be quite close to the predictions of the theory by Raikh and Ruzin. For the two-dimensional case, the DFs both for a narrow system and thin film look to be similar (and close to the one-dimensional case). The distribution function for the conductance of the square sample is nearly Gaussian.
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Cite this article:
HE Li-Qun, Eugene Kogan, Moshe Kaveh, Shlomo Havlin, Nehemia Schartz, LUO Dawei. Distribution Function of Mesoscopic Hopping Conductance[J]. Chin. Phys. Lett., 2002, 19(11): 1683-1686.
HE Li-Qun, Eugene Kogan, Moshe Kaveh, Shlomo Havlin, Nehemia Schartz, LUO Dawei. Distribution Function of Mesoscopic Hopping Conductance[J]. Chin. Phys. Lett., 2002, 19(11): 1683-1686.
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HE Li-Qun, Eugene Kogan, Moshe Kaveh, Shlomo Havlin, Nehemia Schartz, LUO Dawei. Distribution Function of Mesoscopic Hopping Conductance[J]. Chin. Phys. Lett., 2002, 19(11): 1683-1686.
HE Li-Qun, Eugene Kogan, Moshe Kaveh, Shlomo Havlin, Nehemia Schartz, LUO Dawei. Distribution Function of Mesoscopic Hopping Conductance[J]. Chin. Phys. Lett., 2002, 19(11): 1683-1686.
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