Suppr超能文献

石榴石固体电解质中的晶格几何效应:晶格气体蒙特卡罗模拟研究

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

作者信息

Morgan Benjamin J

机构信息

Department of Chemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK.

出版信息

R Soc Open Sci. 2017 Nov 1;4(11):170824. doi: 10.1098/rsos.170824. eCollection 2017 Nov.

Abstract

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, and , 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 =3 (from site energies) and =6 (from nearest-neighbour repulsion), where =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.

摘要

固体电解质中的离子传输通常可近似为离子在不同晶格位点之间进行一系列跳跃。如果这些跳跃是不相关的,那么可以推导出将微观跳跃速率与宏观传输系数联系起来的定量关系;即示踪扩散系数和离子电导率。在实际材料中,只有在稀释极限下跳跃才是不相关的。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偏离随机游走情况,这种偏差分别由单粒子和集体关联因子(f)和(g)来量化。这些因子在不同材料之间变化,并取决于移动粒子的浓度、相互作用的性质以及主体晶格几何结构。在此,我们使用晶格气体蒙特卡罗模拟研究石榴石晶格的这些关联效应。我们发现,对于非相互作用粒子(仅体积排斥),单粒子关联效应比任何先前研究的三维晶格都更为显著。这归因于存在双配位晶格位点,这导致了介于典型三维晶格和一维晶格之间的关联效应。包括最近邻排斥和在位能会产生更复杂的单粒子关联并引入集体关联。我们预测在(x = 3)(来自位能)和(x = 6)(来自最近邻排斥)时会有特别强的关联效应,其中(x = 9)对应于锂子晶格完全被占据。这两种效应都是移动粒子有序化的结果。利用这些模拟数据,我们考虑调整移动离子化学计量比以最大化离子电导率,并表明“最优”组成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这些结果的实际意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a1a/5717647/7cfeb753b827/rsos170824-g1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验