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Incidentally, we found that a power law (ρ T-8.95) fits the data between 80 and 280 K for BMRO(2) with R2 =0.9998; a similar power law fits the data for BMRO(1) with R2 =0.997 (much lower than for the ES-VRH relation fit). None of the curves for the other samples straightens uon a log-log plot, even over rather narrow ranges of temperature.
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Incidentally, we found that a power law (ρ T-8.95) fits the data between 80 and 280 K for BMRO(2) with R2 =0.9998; a similar power law fits the data for BMRO(1) with R2 =0.997 (much lower than for the ES-VRH relation fit). None of the curves for the other samples straightens up on a log-log plot, even over rather narrow ranges of temperature.
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The numerical factor in the expression of TM given in Ref. is 21.2±1.2, not very different from that obtained from the calculation by Mott.
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The numerical factor in the expression of TM given in Ref. is 21.2±1.2, not very different from that obtained from the calculation by Mott.
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The apparent correlation for the SMRO and BMRO data is ρ 0 = ρ 00 e- T0 / T00 with ρ 00 =206 cm and T00 =271 K (R2 =0.91). A similar correlation was found in the past between the parameters of Mott VRH obtained for a wide set of data.(Ref.).
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The apparent correlation for the SMRO and BMRO data is ρ 0 = ρ 00 e- T0 / T00 with ρ 00 =206 cm and T00 =271 K (R2 =0.91). A similar correlation was found in the past between the parameters of Mott VRH obtained for a wide set of data.(Ref.).
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A calculation ̀ la Mott for m=2 gives a numerical factor of four times larger than that in the ES formula for T0. The calculated gais then eight times smaller, that is, smaller than kB T, which makes no sense.
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A calculation ̀ la Mott for m=2 gives a numerical factor of four times larger than that in the ES formula for T0. The calculated gap is then eight times smaller, that is, smaller than kB T, which makes no sense.
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