Diffusion of lithium ions in Lithium-argyrodite solid-state electrolytes

Ardeshir Baktash, James C. Reid, Tanglaw Roman, Debra J. Searles

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)
25 Downloads (Pure)


The use of solid-state electrolytes to provide safer, next-generation rechargeable batteries is becoming more feasible as materials with greater stability and higher ionic diffusion coefficients are designed. However, accurate determination of diffusion coefficients in solids is problematic and reliable calculations are highly sought-after to understand how their structure can be modified to improve their performance. In this paper we compare diffusion coefficients calculated using nonequilibrium and equilibrium ab initio molecular dynamics simulations for highly diffusive solid-state electrolytes, to demonstrate the accuracy that can be obtained. Moreover, we show that ab initio nonequilibrium molecular dynamics can be used to determine diffusion coefficients when the diffusion is too slow for it to be feasible to obtain them using ab initio equilibrium simulations. Thereby, using ab initio nonequilibrium molecular dynamics simulations we are able to obtain accurate estimates of the diffusion coefficients of Li ions in Li6PS5Cl and Li5PS4Cl2, two promising electrolytes for all-solid-state batteries. Furthermore, these calculations show that the diffusion coefficient of lithium ions in Li5PS4Cl2 is higher than many other potential all-solid-state electrolytes, making it promising for future technologies. The reasons for variation in conductivities determined using computational and experimental methods are discussed. It is demonstrated that small degrees of disorder and vacancies can result in orders of magnitude differences in diffusivities of Li ions in Li6PS5Cl, and these factors are likely to contribute to inconsistencies observed in experimentally reported values. Notably, the introduction of Li-vacancies and disorder can enhance the ionic conductivity of Li6PS5Cl.

Original languageEnglish
Article number162
Journalnpj Computational Materials
Early online date27 Oct 2020
Publication statusE-pub ahead of print - 27 Oct 2020
Externally publishedYes


  • Applied physics
  • Batteries
  • Computational methods
  • Materials chemistry
  • solid-state electrolytes
  • Lithium ions
  • diffusion coefficients of lithium ions


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