Excess Density as a Descriptor for Electrolyte Solvent Design

TL;DR

This study uses molecular dynamics simulations and experimental validation to analyze excess density in electrolyte solvent mixtures, providing a structural descriptor to aid in designing high-performance battery electrolytes.

Contribution

It introduces the use of excess density as a molecular descriptor for electrolyte design, combining simulations, experiments, and structural analysis.

Findings

Mixtures of similar solvents show lower excess density magnitude.

Excess density varies smoothly with mole percent and fits Redlich-Kister polynomials.

Structural dissimilarity correlates with deviations from ideal mixture behavior.

Abstract

Electrolytes mediate interactions between the cathode and anode and determine performance characteristics of batteries. Mixtures of multiple solvents are often used in electrolytes to achieve desired properties, such as viscosity, dielectric constant, boiling point, and melting point. Conventionally, multi-component electrolyte properties are approximated with linear mixing, but in practice, significant deviations are observed. Excess quantities can provide insights into the molecular behavior of the mixture and could form the basis for designing high-performance electrolytes. Here we investigate the excess density of commonly used Li-ion battery solvents such as cyclic carbonates, linear carbonates, ethers, and nitriles with molecular dynamics simulations. We additionally investigate electrolytes consisting of these solvents and a salt. The results smoothly vary with mole percent and are fit to permutation-invariant Redlich-Kister polynomials. Mixtures of similar solvents, such as cyclic-cyclic carbonate mixtures, tend to have excess properties that are lower in magnitude compared to mixtures of dissimilar substances, such as carbonate-nitrile mixtures. We perform experimental testing using our robotic test stand, Clio, to provide validation to the observed simulation trends. We quantify the structure similarity using SOAP fingerprints to create a descriptor for excess density, enabling the design of electrolyte properties. To a first approximation, this will allow us to estimate the deviation of a mixture from ideal behavior based solely upon the structural dissimilarity of the components.