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We found a universal link between ion-water structure and electrolyte viscosity. This model accurately predicts viscosity changes in concentrated salt solutions, improving our understanding of nanoscale dynamics.

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Area of Science:

  • Physical Chemistry
  • Solution Chemistry
  • Computational Chemistry

Background:

  • Electrostatic correlations between dissolved ions significantly influence transport properties like conductivity and ion selectivity.
  • The impact of these ionic correlations on solvent properties, particularly viscosity, is not well understood, with current models failing to match experimental data.

Purpose of the Study:

  • To develop a model that accurately predicts viscosity changes in concentrated electrolyte solutions.
  • To establish a quantitative link between the microscopic structure of electrolyte solutions and their macroscopic viscosity.

Main Methods:

  • Utilized stochastic density functional theory (SDFT) to accurately capture charge fluctuations and correlations in electrolytes.
  • Derived a simple analytical expression for viscosity correction in concentrated electrolytes.

Main Results:

  • The derived analytical expression quantitatively predicts experimental viscosity data across all temperatures and salt concentrations up to saturation.
  • Established a universal relationship connecting the liquid's structure factor to viscosity corrections.

Conclusions:

  • The study provides a breakthrough in understanding electrolyte viscosity by linking it directly to microscopic structure.
  • This work offers new insights into the nanoscale dynamics of water and ions in highly concentrated and correlated solutions.