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(AgI)(1−x)–(Al2O3)x nanocomposite system: ionic conductivity simulations by a random variable theory

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Abstract

Conductivity data of (AgI)(1−x)–(Al2O3)x nanocomposites are fitted by using a random variable theory with a probability density in the charge carriers. Experimental data show that the increase in alumina concentration leads to a decrease in the jump in conductivity experienced by the system at 420 K. The experimental data, both the abrupt jump and the logarithm of conductivity times temperature as a function of the inverse of temperature behavior in the 300–500 K temperature range and concentrations x = 0.0,0.3,0.6, and 0.8 per mol, were well fitted. The abrupt change in conductivity results from the sudden increase in the number of carriers with a probability distribution function that varies with the reduced temperature of the system. The chosen values for the parameters Γ and χ that fit the conductivity behavior for each concentration are on the theoretical curve predicted by the model with a probability density in the charge carriers.

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Authors and Affiliations

  1. Grupo de Transiciones de Fases y Materiales Funcionales, Departamento de Física, Cali, Colombia

    D. Peña Lara

  2. Centro de Excelencia en Nuevos Materiales (CENM), Universidad del Valle, Cali, Colombia

    D. Peña Lara

  3. Laboratorio de Optoelectrónica, Universidad del Quindío, 630004, Armenia, Colombia

    H. Correa

  4. Departamento de Física, Universidad Surcolombiana, 410001, Neiva, Colombia

    Daniel Suescún-Díaz

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  1. D. Peña Lara
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  2. H. Correa
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  3. Daniel Suescún-Díaz
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Correspondence to D. Peña Lara.

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Lara, D.P., Correa, H. & Suescún-Díaz, D. (AgI)(1−x)–(Al2O3)x nanocomposite system: ionic conductivity simulations by a random variable theory. Ionics 28, 2911–2917 (2022). https://doi.org/10.1007/s11581-022-04496-5

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  • DOI: https://doi.org/10.1007/s11581-022-04496-5

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