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

机译:石榴石固体电解质中的晶格几何效应:晶格气体蒙特卡洛模拟研究

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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 fI, 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 xLi=3 (from site energies) and xLi=6 (from nearest-neighbour repulsion), where xLi=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地看作是离子在不同晶格位点之间执行一系列跃变。如果这些啤酒花不相关,则可以导出定量关系,将微观跳跃率与宏观运输系数联系起来。即示踪剂扩散系数和离子电导率。在实际材料中,啤酒花仅在稀释极限内不相关。在非稀释浓度下,跳跃频率,扩散系数和离子电导率之间的关系与随机游走情况不同,该偏差分别由单粒子和集体相关因子f和fI量化。这些因素在材料之间有所不同,并且取决于可移动粒子的浓度,相互作用的性质以及主体晶格的几何形状。在这里,我们使用晶格气体蒙特卡洛模拟研究石榴石晶格的这些相关效应。我们发现,对于非交互粒子(仅体积排除),单粒子关联效应比任何先前研究的三维晶格都更为显着。这归因于存在两个坐标晶格位点,这导致了典型的三维和一维晶格之间的中间相关效应。包括最近邻的排斥力和现场能量会产生更复杂的单粒子关联,并引入集体关联。我们预测在xLi = 3(来自站点能量)和xLi = 6(来自最近邻排斥)的情况下,特别强的相关效应,其中xLi = 9对应于完全占据的锂亚晶格。两种效果都是可移动颗粒有序的结果。利用这些模拟数据,我们考虑调整移动离子的化学计量比,以最大化离子电导率,并表明“最佳”成分对微观相互作用的精确性质和强度高度敏感。最后,我们在锂石榴石和其他固体电解质的背景下讨论了这些结果的实际含义。

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