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Lattice-geometry effects in garnet solid electrolytes: a lattice-gas Monte Carlo simulation study

机译:石榴石固体电解质的晶格 - 几何效果:格子气体蒙特卡罗仿真研究

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摘要

Ionic transport in solid electrolytes can often be approximated as ions performing a sequence of hops between distinct lattice sites. If these hops are uncorrelated, quantitative relationships can be derived that connect microscopic hopping rates to macroscopic transport coefficients; i.e. tracer diffusion coefficients and ionic conductivities. In real materials, hops are uncorrelated only in the dilute limit. At non-dilute concentrations, the relationships between hopping frequency, diffusion coefficient and ionic conductivity deviate from the random walk case, with this deviation quantified by single-particle and collective correlation factors, f and f I, respectively. These factors vary between materials, and depend on the concentration of mobile particles, the nature of the interactions, and the host lattice geometry. Here, we study these correlation effects for the garnet lattice using lattice-gas Monte Carlo simulations. We find that, for non-interacting particles (volume exclusion only), single-particle correlation effects are more significant than for any previously studied three-dimensional lattice. This is attributed to the presence of two-coordinate lattice sites, which causes correlation effects intermediate between typical three-dimensional and one-dimensional lattices. Including nearest-neighbour repulsion and on-site energies produces more complex single-particle correlations and introduces collective correlations. We predict particularly strong correlation effects at x Li=3 (from site energies) and x Li=6 (from nearest-neighbour repulsion), where x Li=9 corresponds to a fully occupied lithium sublattice. Both effects are consequences of ordering of the mobile particles. Using these simulation data, we consider tuning the mobile-ion stoichiometry to maximize the ionic conductivity, and show that the ‘optimal’ composition is highly sensitive to the precise nature and strength of the microscopic interactions. Finally, we discuss the practical implications of these results in the context of lithium garnets and other solid electrolytes.
机译:固体电解质中的离子传输通常可以近似为在不同的晶格位点之间进行一系列跳跃的离子近似。如果这些跳跃是不相关的,则可以导出定量关系,以将微观跳频率连接到宏观传输系数;即跟踪器扩散系数和离子电导率。在真实的材料中,跳跃仅在稀释极限中不相关。在非稀释浓度下,跳频频率,扩散系数和离子电导率之间的关系偏离随机行走壳,该偏差分别通过单粒子和集体相关因子,F和F I li = 3(从站点能量)和x li = 6(从最近邻的排斥)的特别强烈的相关效果,其中x li
  • = 9对应于完全占用的锂子组。两种效应都是移动颗粒排序的后果。使用这些仿真数据,考虑调整移动离子化学计量以最大化离子电导率,并表明“最佳”组合物对微观相互作用的精确性和强度非常敏感。最后,我们讨论了这些导致这些结果的实际意义和其他固体电解质的背景。
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