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Related Experiment Videos

Extended Ensemble Approach to Transferable Potentials for Low-Resolution Coarse-Grained Models of Ionomers.

Joseph F Rudzinski1, Keran Lu1, Scott T Milner1

  • 1Department of Chemistry and ‡Department of Chemical Engineering, The Pennsylvania State University , University Park, Pennsylvania 16802, United States.

Journal of Chemical Theory and Computation
|April 12, 2017
PubMed
Summary

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We developed a transferable coarse-grained model for polyethylene-oxide (PEO)-based ionomers. This model accurately predicts ion aggregation, consistent with experimental observations, even without explicitly simulating the PEO backbone.

Area of Science:

  • Materials Science
  • Computational Chemistry
  • Polymer Science

Background:

  • Ion transport in polymers is crucial for applications like batteries and fuel cells.
  • Developing accurate, predictive models for ionomer behavior is essential for materials design.
  • Polyethylene-oxide (PEO)-based ionomers are promising materials, but their complex behavior requires advanced simulation techniques.

Purpose of the Study:

  • To develop a transferable, low-resolution coarse-grained (CG) model for PEO-based ionomers.
  • To accurately capture ion pairing and aggregation phenomena in these systems.
  • To enable efficient simulation of ionomer behavior across various compositions and temperatures.

Main Methods:

  • An extended ensemble method combining united atom (UA) simulations at multiple temperatures.

Related Experiment Videos

  • Global force-matching to derive interaction potentials for the CG model.
  • Development of a transferable "xn" force field with long-ranged Coulomb potentials and system-specific dielectric constants.
  • Systematic variation of sulfonation degree and temperature for 7 distinct ionomers.

    • Main Results:

    • The "xn" force field accurately describes ion pairing as a function of sulfonation and temperature.
    • The CG model predicts string-like ion aggregates, consistent with experimental X-ray scattering data.
    • Dielectric constants were found to decrease with increasing sulfonation and temperature, with a reasonable empirical model for sulfonation dependence.

    Conclusions:

    • The developed CG model provides a transferable and accurate representation of PEO-based ionomers.
    • The model successfully predicts key structural features like ion aggregates without explicit PEO backbone representation.
    • This approach offers a computationally efficient pathway for designing and understanding ionomer materials.