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Analysis of ac conduction in disordered solids

机译:无序固体中的交流传导分析

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Dyre J. Appl. Phys.64, 2456 (1988) has recently stated that the random free‐energy barrier model of ac conduction in disordered solids, solved in the continuous time random‐walk approximation with the effects of the maximum jump frequency eliminated, is quantitatively satisfactory in describing hopping conduction for a large number of solids. Here, predictions of this model, equivalent to the long‐used box model, which posits a distribution of equally probable activation energies, are examined in depth, both without and with an upper cutoff. It is first demonstrated that the type of log‐log plot on which Dyre appears to base his conclusion of quantitative adequacy does not allow adequate discrimination to be made between box‐model predictions and those of other models, such as the Kohlrausch–Williams–Watts model, even when exact data are used. The results of numerous complex nonlinear least‐squares fits of exact box‐model data, and of such data containing substantial proportionally added random errors, to the box model, the WW model, the constant‐phase‐element model, and the Davidson–Cole J. Chem. Phys.19, 1484 (1951) response model make it clear that when using this fitting technique, one can identify the correct model, discriminate against incorrect ones, and obtain good parameter value estimates for the correct model. Further, when the highest frequency of the data exceeds the maximum jump frequency, its value can be accurately estimated. It is concluded that the case for the quantitative adequacy of the box model remains unproven. Future data fitting using complex nonlinear least squares should, however, allow a best‐fit model to be selected unambiguously from those compared.
机译:Dyre [J. Appl. Phys.64, 2456 (1988)] 最近指出,在连续时间随机&连字符&连字符-游走近似中求解的无序固体中交流传导的随机自由&连字符能量势垒模型,在描述大量固体的跳跃传导方面是定量令人满意的。在这里,深入研究了该模型的预测,相当于长期使用的盒子模型,该模型假设了相等可能的活化能的分布,既没有上限,也有上限截止值。首先证明,Dyre似乎基于对数对数图的类型来得出定量充分性的结论,即使使用了精确的数据,也无法对box‐模型预测与其他模型(如Kohlrausch-Williams-Watts模型)的预测进行充分的区分。对精确盒&连字符模型数据的大量复杂非线性最小-连字符二乘拟合,以及包含大量比例加随机误差的数据,对箱体模型、WW模型、常数&连字符&连字符&连字符模型和Davidson-Cole[J. Chem. Phys.19, 1484 (1951)]响应模型进行大量非线性最小二乘拟合的结果清楚地表明,当使用这种拟合技术时, 可以识别正确的模型,区分不正确的模型,并为正确的模型获得良好的参数值估计。此外,当数据的最高频率超过最大跳转频率时,可以准确估计其值。得出的结论是,盒子模型的数量充分性仍未得到证实。然而,未来使用复数非线性最小二乘法进行数据拟合时,应该允许从比较模型中明确地选择最佳拟合模型。

著录项

  • 来源
    《journal of applied physics》 |1989年第12期|4845-4853|共页
  • 作者

    James Ross Macdonald;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
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