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Ion-ion correlations from aggregation and the Nernst-Einstein equation

ORAL

Abstract

We present a new approximation [1] to ionic conductivity well suited to dynamical atomic-scale simulations, based on the Nernst-Einstein equation. Ionic aggregates constitute the elementary charge carriers, and are considered as non-interacting species. This approach conveniently captures a dominant effect of ion-ion correlations on conductivity, namely short range interactions in the form of clustering. In addition to providing better estimates to the conductivity at a lower computational cost than exact approaches, this new method allows to understand the physical mechanisms driving ion conduction in concentrated electrolytes. As an example, we consider Li+ conduction in poly(ethylene oxide), a standard solid-state polymer electrolyte. Using our newly developed approach, we are able to reproduce recent experimental results reporting negative cation transference numbers at high salt concentrations, and to confirm that this effect can be caused by a large population of negatively charged clusters involving cations.

[1] A. France-Lanord and J. C. Grossman. Correlations from ion-pairing and the Nernst-Einstein equation, Phys. Rev. Lett. 122, 136001 (2019)

Presenters

  • Arthur France-Lanord

    Massachusetts Institute of Technology MIT, Materials Science And Engineering, Massachusetts Institute of Technology MIT

Authors

  • Arthur France-Lanord

    Massachusetts Institute of Technology MIT, Materials Science And Engineering, Massachusetts Institute of Technology MIT

  • Jeffrey C Grossman

    Massachusetts Institute of Technology MIT, Materials Science And Engineering, Massachusetts Institute of Technology MIT