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Manifestation of site energy landscapes for ion transport in borate glasses

  • 0Philipps-Universität Marburg, Chemistry Department, Hans-Meerwein Str. 4, 35043 Marburg, Germany. weitzel@chemie.uni-marburg.de.
Physical Chemistry Chemical Physics : Pccp +

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May 7, 2024

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May 7, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Investigating lithium borate glass, researchers found that replacing lithium ions with larger alkali ions significantly slows down native ion diffusion. This reveals insights into the material's energy landscape and ion transport mechanisms.

Area Of Science

  • Materials Science
  • Solid-State Chemistry
  • Ion Transport Phenomena

Background

  • Lithium borate glasses are crucial in various applications, including solid electrolytes.
  • Understanding ion transport is key to optimizing glass properties for technological use.
  • The potential energy landscape governs ion mobility within these materials.

Purpose Of The Study

  • To investigate the potential energy landscape of Li3B7O12 glass.
  • To determine the effect of substituting native lithium ions with foreign alkali ions (K+, Rb+, Cs+) on ion diffusion.
  • To model the energy landscape using a site energy distribution.

Main Methods

  • Charge Attachment Induced Transport (CAIT) technique was employed.
  • Macroscopic ion replacement experiments were conducted.
  • Nernst-Planck-Poisson modeling was used with secondary ion mass spectrometry (SIMS) data.

Main Results

  • A significant decrease in native ion diffusion coefficients (over 4 orders of magnitude) was observed as the local population of Li+ decreased.
  • The energy landscape was successfully modeled by a site energy distribution (SED).
  • The populated part of the SED exhibited a width of 250 meV (FWHM).

Conclusions

  • The study elucidates the relationship between alkali ion substitution and ion diffusion in lithium borate glass.
  • The findings provide a quantitative model for the energy landscape governing ion transport.
  • The research offers insights into generalizing macroscopic transport theories.

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