Structure and Dynamics in Ion-Conducting Polymers from MD Simulations

Invited

Abstract

Simulations of ion transport in ion-conducting polymers such as ionomers are challenging because dynamical processes relevant to the ion transport occur across many orders of magnitude. Additionally, designing improved ionomers requires an understanding of how both polymer architecture and ionomer morphology affect ion dynamics. To build a better understanding of the relationships among ionomer chemistry, morphology, and ion transport, we have performed a series of molecular dynamics simulations and connected aspects of these simulations with experiment. In this talk I will describe our recent results on two different ionic polymers. The first is a series of precise poly(ethylene-co-acrylic acid) ionomers, which have acid groups precisely spaced along the polymer backbone. Recent atomistic MD simulations of these ionomers are in relatively good agreement with quasi-elastic neutron scattering data at short time scales. The comparison with experiment validates the dynamics in the simulations, which we then use to probe ion dynamics at longer time scales. The second system is a sulfonated poly(phenylene), which conducts protons when hydrated. Atomistic simulations of the structure are in good agreement with NMR spin diffusion measurements of domain sizes. I will describe efforts to develop a coarse-grained model of this polymer to extend the length and time scales of the simulations, as well as additional comparisons between simulation and experimental data.

Presenters

  • Amalie Frischknecht

    Sandia National Labs, Computational Material and Data Science, Sandia National Lab, Sandia Natl Labs

Authors

  • Amalie Frischknecht

    Sandia National Labs, Computational Material and Data Science, Sandia National Lab, Sandia Natl Labs