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无机固态电解质中的离子跃迁协同性如何?

How Concerted Are Ionic Hops in Inorganic Solid-State Electrolytes?

作者信息

López Cibrán, Rurali Riccardo, Cazorla Claudio

机构信息

Departament de Física, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.

Barcelona Research Center in Multiscale Science and Engineering, Universitat Politècnica de Catalunya, 08019 Barcelona, Spain.

出版信息

J Am Chem Soc. 2024 Mar 27;146(12):8269-8279. doi: 10.1021/jacs.3c13279. Epub 2024 Mar 18.

Abstract

Despite being fundamental to the understanding of solid-state electrolytes (SSEs), little is known on the degree of coordination between mobile ions in diffusive events, thus hindering a detailed comprehension and possible rational design of SSEs. Here, we introduce an unsupervised k-means clustering approach that is able to identify ion-hopping events and correlations between many mobile ions and apply it to a comprehensive ab initio MD database comprising several families of inorganic SSEs and millions of ionic configurations. It is found that despite two-body interactions between mobile ions being the largest, higher-order -ion (2 < ) correlations are most frequent. Specifically, we prove a general exponential decaying law for the probability density function governing the number of concerted mobile ions. For the particular case of Li-based SSEs, it is shown that the average number of correlated mobile ions amounts to 10 ± 5 and that this result is practically independent of the temperature. Interestingly, our data-driven analysis reveals that fast-ionic diffusion strongly and positively correlates with ample hopping lengths and long hopping spans but not with high hopping frequencies and short interstitial residence times. Finally, it is shown that neglection of many-ion correlations generally leads to a modest overestimation of the hopping frequency that roughly is proportional to the average number of correlated mobile ions.

摘要

尽管对于理解固态电解质(SSE)至关重要,但对于扩散过程中移动离子之间的配位程度却知之甚少,这阻碍了对SSE的详细理解以及可能的合理设计。在此,我们引入一种无监督的k均值聚类方法,该方法能够识别离子跳跃事件以及许多移动离子之间的相关性,并将其应用于一个包含多个无机SSE家族和数百万个离子构型的综合从头算分子动力学(MD)数据库。结果发现,尽管移动离子之间的两体相互作用最大,但高阶离子(>2)相关性最为频繁。具体而言,我们证明了控制协同移动离子数量的概率密度函数的一般指数衰减规律。对于基于锂的SSE的特殊情况,结果表明相关移动离子的平均数量为10±5,并且该结果实际上与温度无关。有趣的是,我们的数据驱动分析表明,快速离子扩散与充足的跳跃长度和长跳跃跨度强烈正相关,但与高跳跃频率和短间隙停留时间无关。最后,结果表明忽略多离子相关性通常会导致跳跃频率的适度高估,该高估大致与相关移动离子的平均数量成正比。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab20/11583204/bb9387db7988/ja3c13279_0001.jpg

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