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Application of a Coupling Agent to Improve the Dielectric Properties of Polymer-Based Nanocomposites
Published on: September 19, 2020
Equilibration of ion distribution at polymer/ceramic interfaces.
Melania Kozdra1, Laura Hölzer2, Daniel Brandell1
1Department of Chemistry - Ångström Laboratory, Uppsala University, Box 538, 75121 Uppsala, Sweden.
High-temperature simulations reveal equilibrium ion distribution in composite solid electrolytes (CSEs). This method predicts ion transfer barriers for solid-state battery applications at lower temperatures.
Area of Science:
- Materials Science
- Electrochemistry
- Computational Chemistry
Background:
- Composite solid electrolytes (CSEs) are promising for solid-state batteries.
- Non-homogeneous ion distribution in CSEs poses challenges for molecular dynamics (MD) simulations at typical battery operating temperatures.
- Limited timescales in classical MD (<μs) hinder achieving interfacial ion equilibration.
Purpose of the Study:
- To investigate equilibrium ion distributions in CSEs using MD simulations at elevated temperatures (400-700 K).
- To assess the transferability of high-temperature simulation insights to lower, experimentally relevant temperatures.
- To predict ion transfer barriers and hopping rates for solid-state battery applications.
Main Methods:
- Molecular dynamics (MD) simulations of composite solid electrolytes (CSEs) comprising Li$_{7}$La$_{3}$Zr$_{2}$O$_{12}$ (LLZO) ceramic and LiTFSI in PEO polymer electrolyte.
- Simulations conducted at elevated temperatures ranging from 400 K to 700 K.
- Analysis of interfacial ion (Li$^{+}$ and TFSI$^{-}$) distributions and free energy curves.
Main Results:
- Equilibrium interfacial structures, independent of temperature above 600 K, show significant Li$^{+}$ transfer to the LLZO ceramic phase.
- Below 600 K, Li$^{+}$ distribution is not fully equilibrated, though TFSI$^{-}$ distribution appears to follow Li$^{+}$.
- High-temperature simulations enable estimation of Li$^{+}$ free energy barriers and hopping rates at lower temperatures.
Conclusions:
- Elevated temperature MD simulations are crucial for achieving equilibrium ion partitioning in CSEs.
- Insights from high-temperature simulations can predict ion dynamics at lower, experimentally relevant temperatures.
- This approach aids in designing efficient solid-state batteries by understanding ion transport mechanisms.
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