Mechanistic Decomposition of Ion Transport in Amorphous Polymer Electrolytes via Molecular Dynamics

Understanding ion transport in polymer electrolytes is critical for designing next-generation energy storage systems. Molecular dynamics simulations offer complete atomistic information, but disentangling the contributions of distinct diffusion modes in cation transport remains a challenge. Here, we introduce a mathematical algorithm that decomposes the transport coefficient into a sum of interpretable diffusion mechanisms based on changes in local atomic environment. Applying this framework to a prototypical polymer electrolyte, we quantify the contributions of proposed transport modes. We identify a rare lithium diffusion mechanism associated with the disassembly of existing solvation environments which contributes an order of magnitude more to lithium transport properties per event than all other mechanisms. Finally, we characterize the spectrum of microscopic diffusion events, providing a detailed and quantitative understanding of ion transport in polymer electrolytes. Our approach offers a promising path toward a more quantitative and mechanistic understanding of ion transport in soft matter electrolytes.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2025-11-21
DOI
https://doi.org/10.1021/acs.jpclett.5c02680
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
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article

Mechanistic Decomposition of Ion Transport in Amorphous Polymer Electrolytes via Molecular Dynamics

Rafael Gómez‐Bombarelli, Pablo A. Leon, Kiarash Gordiz, KyuJung Jun et al.
The Journal of Physical Chemistry Letters
Advanced Battery Materials and Technologies
article

Mechanistic Decomposition of Ion Transport in Amorphous Polymer Electrolytes via Molecular Dynamics

Rafael Gómez‐Bombarelli, Pablo A. Leon, Kiarash Gordiz, KyuJung Jun, Yang Shao‐Horn
article en

Abstract

Understanding ion transport in polymer electrolytes is critical for designing next-generation energy storage systems. Molecular dynamics simulations offer complete atomistic information, but disentangling the contributions of distinct diffusion modes in cation transport remains a challenge. Here, we introduce a mathematical algorithm that decomposes the transport coefficient into a sum of interpretable diffusion mechanisms based on changes in local atomic environment. Applying this framework to a prototypical polymer electrolyte, we quantify the contributions of proposed transport modes. We identify a rare lithium diffusion mechanism associated with the disassembly of existing solvation environments which contributes an order of magnitude more to lithium transport properties per event than all other mechanisms. Finally, we characterize the spectrum of microscopic diffusion events, providing a detailed and quantitative understanding of ion transport in polymer electrolytes. Our approach offers a promising path toward a more quantitative and mechanistic understanding of ion transport in soft matter electrolytes.

The Journal of Physical Chemistry LettersVol. 16(48)
Massachusetts Institute of Technology (US)
Openalex Percentile: Top 65%
Advanced Battery Materials and Technologies
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Mechanistic Decomposition of Ion Transport in Amorphous Polymer Electrolytes via Molecular Dynamics — Rafael Gómez‐Bombarelli, Pablo A. Leon, et al. · The Journal of Physical Chemistry Letters (2025) | TGRS Research Map | TGRS