固体聚合物电解质中树枝状突起空间分布的量化和可视化

IF 42.9 Q1 ELECTROCHEMISTRY
Tiancheng Yi , Enyue Zhao , Yuping He , Tianjiao Liang , Howard Wang
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引用次数: 0

摘要

将锂金属阳极与聚合物电解质相结合是下一代高能量密度充电电池的一项前景广阔的技术。由于在循环过程中树枝状突起往往会阻碍研究的进展,因此量化聚合物电解质中树枝状突起的三维(3D)微结构对于更好地了解树枝状突起的形成以制定缓解策略至关重要。树枝状物质(尤其是低锂含量的树枝状物质)的三维量化和可视化技术非常有限。本研究报告采用三维断层中子深度剖析(NDP)技术,对固体聚合物电解质中生长的锂枝晶的空间分布进行了定量测量,并改进了空间分辨率、成分范围和数据显示。数据显示,锂在从几十纳米到几厘米的长度范围内呈异质分布。虽然大多数树枝状突起都是从电镀层向剥离电极生长,锂的数量不断减少,但也观察到明显从锂剥离电极生长出来的树枝状突起。这一发现只可能归功于锂同位素中子活化分析的高特异性和高灵敏度的独特组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantification and visualization of spatial distribution of dendrites in solid polymer electrolytes

Quantification and visualization of spatial distribution of dendrites in solid polymer electrolytes

Quantification and visualization of spatial distribution of dendrites in solid polymer electrolytes

Integrating lithium metal anodes with polymer electrolytes is a promising technology for the next generation high-energy-density rechargeable batteries. As the progress is often hindered by the dendrite growth upon cycling, quantifying three-dimensional (3D) microstructures of dendrites in polymer electrolytes is essential to better understanding of dendrite formation for the development of mitigation strategies. Techniques for 3D quantification and visualization of dendrites, especially those with low Li contents, are rather limited. This study reports quantitative measurements of the spatial distribution of Li dendrites grown in solid polymer electrolytes using 3D tomographic neutron depth profiling (NDP) with improved spatial resolution, compositional range, and data presentation. Data reveal heterogeneous distribution of Li over length scales from tens nanometers to centimeters. While most dendrites grow from the plating toward the stripping electrode with dwindling Li quantities, dendrites apparently grown from the Li-stripping electrode are also observed. The discovery is only possibly due to the unique combination of the high specificity and high sensitivity of the neutron activation analysis of Li isotope.

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CiteScore
33.70
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