# Benchmarking conductivity predictions of the Advanced Electrolyte Model   (AEM) for aqueous systems

**Authors:** Adarsh Dave, Kevin L. Gering, Jared M. Mitchell, Jay Whitacre, and Venkatasubramanian Viswanathan

arXiv: 1906.06426 · 2019-10-15

## TL;DR

This paper evaluates the Advanced Electrolyte Model's ability to predict ionic conductivity in high-concentration aqueous electrolytes, demonstrating its high accuracy across various compositions and concentrations.

## Contribution

It provides extensive experimental data for aqueous electrolytes and validates the AEM's predictive accuracy in these systems, especially at high concentrations.

## Key findings

- AEM accurately predicts conductivity in aqueous electrolytes.
- Experimental data covers a wide range of concentrations and compositions.
- High accuracy maintained even in highly-concentrated and mixed-salt regimes.

## Abstract

High-concentration aqueous electrolytes have shown promise as candidates for a safer, lower-cost battery system. Ionic conductivity is a key property required in high performing electrolytes; the Advanced Electrolyte Model (AEM) has previously shown great accuracy in predicting ionic conductivity in highly-concentrated non-aqueous electrolytes. This work provides extensive experimental data for mixed and highly concentrated aqueous electrolyte systems, rapidly generated via a robotic electrolyte testing apparatus. These data demonstrate exceptional accuracy from AEM in predicting conductivity in aqueous systems, with the accuracy being maintained even in highly-concentrated and mixed-salt regimes.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1906.06426/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/1906.06426/full.md

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Source: https://tomesphere.com/paper/1906.06426