4.5 Article

Two-dimensional diffusion in Li0.7NbS2 as directly probed by frequency-dependent 7Li NMR

期刊

JOURNAL OF PHYSICS-CONDENSED MATTER
卷 25, 期 19, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0953-8984/25/19/195402

关键词

-

资金

  1. Deutsche Forschungsgemeinschaft (DFG) within the framework of the Research Unit [FOR 1277]
  2. Graz University of Technology (Austria) [WI3600/2-2, 4-2]

向作者/读者索取更多资源

Li ion diffusion in layer-structured Li0.7NbS2 has been complementary investigated by nuclear magnetic resonance (NMR) spectroscopy from an atomic scale point of view. In the present case, Li-7 NMR spin-lattice relaxation (SLR) rates R-1 rho probed in the rotating frame of reference proved very informative in characterizing the Li self-diffusion process in the van der Waals gap between the NbS2 layers. While temperature-variable SLR rho measurements were used to determine dynamic parameters such as jump rates (tau(-1)) and the activation energy (E-a), frequency-dependent measurements were used to specify the dimensionality of the diffusion process. In particular, the effect of annealing, i.e., the distribution of Li ions between the layers, on overall Li dynamics has been studied. When plotted in an Arrhenius diagram, the R-1 rho rates of an annealed sample, which were recorded at a locking frequency of 20 kHz, pass through a diffusion-induced relaxation peak whose maximum shows up at 320 K. Employing an appropriate diffusion model and appropriately accounting for a non-diffusive background relaxation, a Li jump rate tau(-1) (300 K) approximate to 1.3 x 10(5) s(-1) and an activation energy E-a of 0.43(2) eV can be deduced. Most importantly, in the high-T limit of the diffusion-induced rate peak, i.e., when omega(1)tau << 1 holds, the rates follow a logarithmic frequency dependence. This points to a diffusion process of low dimensionality and is in good agreement with predictions of relaxation models developed for 2D diffusion.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据