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Prediction of electrolyte viscosity for aqueous and non-aqueous systems: Results from a molecular model based on ion solvation and a chemical physics framework

机译:水性和非水性体系中电解质粘度的预测:基于离子溶剂化和化学物理框架的分子模型的结果

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摘要

Electrolyte viscosity is a macroscopic property, although its foundation lies on molecular-scale interactions between solvent and ionic species. A comprehensive understanding of viscosity behavior with respect to solvent composition, salt concentration and temperature is only possible with correct interpretations of molecular interactions and related quantities. This work introduces a new methodology for predicting electrolyte viscosity under a wide range of conditions, based on molecular, physical, and chemical properties. The general formalism is universal for aqueous and non-aqueous systems alike. Although the immediate application of the resultant model is candidate electrolytes for lithium ion batteries, other applications abound in the areas of industrial fluids, biological systems, and other electrochemical systems whose performance characteristics are tied to viscosity. Viscosity predictions are compared to experimental data for a number of electrolytes, demonstrating exceptional accuracy of predictions over wide temperature ranges and broad ranges of salt concentration.
机译:电解质粘度是一种宏观性质,尽管其基础在于溶剂和离子物质之间的分子尺度相互作用。只有正确解释分子相互作用和相关量,才能对溶剂组成,盐浓度和温度有关的粘度行为有全面的了解。这项工作介绍了一种新的方法,可根据分子,物理和化学性质在各种条件下预测电解质粘度。一般形式主义对于水性和非水性体系都是普遍的。尽管最终模型的直接应用是锂离子电池的候选电解质,但是在其性能特征与粘度相关的工业流体,生物系统和其他电化学系统领域中,还有其他大量应用。将粘度预测值与多种电解质的实验数据进行了比较,证明了在宽温度范围和宽范围的盐浓度范围内预测的出色准确性。

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