On the extraction of ion association data and transference numbers from ionic diffusivity and conductivity data in polymer electrolytes
On the extraction of ion association data and transference numbers from ionic diffusivity and conductivity data in polymer electrolytes
复制标题
从聚合物电解质中离子扩散率和电导率数据中提取离子缔合数据和迁移数
DOI:
10.1016/j.electacta.2013.04.028
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发表时间:
2013
影响因子:
6.6
通讯作者:
M. Schönhoff
中科院分区:
文献类型:
--
作者:
N. Stolwijk;J. Kösters;M. Wiencierz;M. Schönhoff
The degree of ion association in polymer electrolytes is often characterized by the Nernst–Einstein deviation parameter Δ, which quantifies the relative difference between the true ionic conductivity directly measured by electrical methods and the hypothetical maximum conductivity calculated from the individual ionic self-diffusion coefficients. Despite its unambiguous definition, the parameter Δ is a global quantity with limited explanatory power. Similar is true for the cation transport number tcat*, which relies on the same ionic diffusion coefficients usually measured by nuclear magnetic resonance or radiotracer methods. Particularly in cases when neutral ion pairs dominate over higher-order aggregates, more specific information can be extracted from the same body of experimental data that is used for the calculation of Δ and tcat*. This information concerns the pair contributions to the diffusion coefficient of cations and anions. Also the true cation transference number based on charged species only can be deduced. We present the basic theoretical framework and some pertinent examples dealing with ion pairing in polymer electrolytes.
DOI:
10.1021/jp2111956
发表时间:
2012-02
期刊:
The journal of physical chemistry. B
影响因子:
--
作者:
N. Stolwijk;M. Wiencierz;Christian Heddier;J. Kösters
通讯作者:
N. Stolwijk;M. Wiencierz;Christian Heddier;J. Kösters