Skip to main navigation Skip to search Skip to main content

High ionic conductivity materials Li3YBr6 and Li3LaBr6 for solid-state batteries: first-principles calculations

  • Yaping Li
  • , Dylan McCoy
  • , Justin Bordonaro
  • , Jack W. Simonson
  • , Shi Yu Liu
  • , Sanwu Wang
  • University of Tulsa
  • Farmingdale State College
  • Tianjin Normal University

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

High ionic conductivity solid-state electrolytes are essential for powerful solid-state lithium-ion batteries. With density functional theory and ab initio molecular dynamics simulations, we investigated the crystal structures of Li3YBr6 and Li3LaBr6. The lowest energy configurations with uniform distribution of lithium ions were identified. Both materials have wide electrochemical stability windows (ESW): 2.64 V and 2.57 V, respectively. The experimental ESW for Li3YBr6 is 2.50 V. Through extrapolating various temperature diffusion results, the conductivity of Li3YBr6 was obtained at room temperature, approximately 3.9 mS cm−1, which is comparable to the experimental value 3.3 mS cm−1. Li3LaBr6 has a higher conductivity, a 100% increase compared with Li3YBr6. The activation energies of Li3YBr6 and Li3LaBr6 through the Arrhenius plot are 0.26 eV and 0.24 eV, respectively, which is also close to the experimental value of 0.30 eV for Li3YBr6. This research explored high ionic conductivity halide materials and will contribute to developing solid-state lithium-ion batteries.

Original languageEnglish
Article number445702
JournalJournal of Physics Condensed Matter
Volume36
Issue number44
DOIs
StatePublished - Nov 6 2024

Keywords

  • first-principles calculations
  • halide materials
  • high ionic conductivity
  • solid-state electrolyte
  • wide electrochemical stability window

Fingerprint

Dive into the research topics of 'High ionic conductivity materials Li3YBr6 and Li3LaBr6 for solid-state batteries: first-principles calculations'. Together they form a unique fingerprint.

Cite this