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16d位点中的锂分布如何决定A(Li,Ti)O(A = Li和Na)的稳定性?

How does the Li-distribution in the 16d sites determine the stability of A(Li,Ti)O (A = Li and Na)?

作者信息

Tada Kohei, Ozaki Hiroyuki, Kiyobayashi Tetsu, Kitta Mitsunori, Tanaka Shingo

机构信息

Research Institute of Electrochemical Energy (RIECEN), Department of Energy and Environment, National Institute of Advanced Industrial Science and Technology (AIST) 1-8-31 Midorigaoka Ikeda Osaka 563-8577 Japan

出版信息

RSC Adv. 2020 Sep 10;10(55):33509-33516. doi: 10.1039/d0ra06125e. eCollection 2020 Sep 7.

Abstract

Li(Li,Ti)O (LTO) is a stable and safe negative electrode material for Li-ion batteries, and its Na substitute Na(Li,Ti)O (NTO) is a counterpart for the Na-ion battery. In LTO and NTO, a sixth of the Ti-sites (16d) in the spinel framework are replaced by Li: Li mixing in the 16d sites. For conducting theoretical studies on these materials, , density functional theory (DFT) calculations, one has to confront the astronomical number of combinations of Li distribution in 16d sites to construct model structures, of which the size is sufficiently large to represent the bulk material properties. Only a limited number of models, whose structures are specified by "researcher intuition," have been examined thus far, and how Li-mixing determines the material stability has yet to be clarified. Herein, we statistically analyzed the DFT total energy of more than 2 × 10 model structures of LTO and NTO that were extracted from the 4 × 10 possible combinations of Li-mixing with computer-aided symmetry analysis and an automated model building system. The local energy analysis further revealed the local stability/instability of each structure. We found that LTO and NTO stability can be well explained by the apparent coulombic repulsion between Li in the 16d sites as if they were placed in a matrix of dielectric constants of 1.92 and 2.04 for LTO and NTO, respectively. That is, the sum of the inverse of the Li-Li distance () serves as a good descriptor in predicting the stability of these materials. The extent to which the O anions are displaced from the Wyckoff position (32e) is considered to differentiate NTO from LTO. However, the electronic structure of NTO does not significantly differ from that of LTO unless exceeds a certain limit. These results suggest that the spinel framework tolerates the structural instability and variety to some extent, which is important in constructing a spinel structure with the mixing of other cations, thereby replacing the rare element Li.

摘要

锂钛氧化物(Li(Li,Ti)O₂,LTO)是一种用于锂离子电池的稳定且安全的负极材料,其钠替代物Na(Li,Ti)O₂(NTO)则是钠离子电池的对应材料。在LTO和NTO中,尖晶石结构框架中六分之一的钛位点(16d)被锂取代:锂在16d位点发生混合。为了对这些材料进行理论研究,即进行密度泛函理论(DFT)计算,必须面对16d位点中锂分布的天文数字般的组合来构建模型结构,其尺寸要足够大以代表块状材料的性质。到目前为止,仅研究了少数由“研究者直觉”指定结构的模型,而锂混合如何决定材料稳定性仍有待阐明。在此,我们通过计算机辅助对称性分析和自动模型构建系统,从锂混合的4×10⁶种可能组合中提取了超过2×10⁵个LTO和NTO的模型结构,并对其DFT总能量进行了统计分析。局部能量分析进一步揭示了每个结构的局部稳定性/不稳定性。我们发现,LTO和NTO的稳定性可以通过16d位点中锂之间明显的库仑排斥很好地解释,就好像它们分别处于介电常数为1.92和2.04的介质矩阵中一样。也就是说,锂-锂距离倒数的总和()在预测这些材料的稳定性方面是一个很好的描述符。氧阴离子从Wyckoff位置(32e)位移的程度被认为是区分NTO和LTO的因素。然而,除非超过一定限度,NTO的电子结构与LTO的电子结构没有显著差异。这些结果表明,尖晶石结构在一定程度上能够容忍结构的不稳定性和多样性,这对于构建混合其他阳离子从而替代稀有元素锂的尖晶石结构很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f35b/9056721/e9dad87d7c78/d0ra06125e-f1.jpg

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