FIB-SEM:用于先进电池开发的新兴多模态/多尺度表征技术

IF 55.8 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Zhao Liu*, Shuang Bai, Sven Burke, James N. Burrow, Remco Geurts, Chen-Jui Huang, Chengge Jiao, Hee-Beom Lee, Ying Shirley Meng, Libor Novák, Bartłomiej Winiarski, Jing Wang, Ken Wu and Minghao Zhang*, 
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引用次数: 0

摘要

电池技术的进步需要对不同尺度的物理、化学和电化学过程有深刻的理解。聚焦离子束扫描电子显微镜(FIB-SEM)已成为电池研究中不可或缺的工具,可以实现从宏观结构到纳米尺度的多尺度分析和高分辨率成像。本文首先介绍了FIB-SEM仪器框架下聚焦光束和物质相互作用的基本原理,然后探讨了FIB-SEM表征在可充电电池(锂离子电池及其他类型)上的应用,重点是阴极和阳极材料,以及固态电池。分析技术,如能量色散x射线光谱学,电子背散射衍射,和二次离子质谱在他们的能力提供详细的形态,晶体学和化学见解的背景下进行了讨论。该综述还强调了FIB-SEM的几个新兴应用,包括保持样品完整性的工作流程、操作中表征和相关显微镜。还讨论了人工智能的集成,以增强数据分析和预测建模,这大大提高了材料表征的准确性和效率。通过全面的多模态和多尺度分析,FIB-SEM将显著推进对高性能电池材料的理解和开发,为未来电池技术的创新铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

FIB-SEM: Emerging Multimodal/Multiscale Characterization Techniques for Advanced Battery Development

FIB-SEM: Emerging Multimodal/Multiscale Characterization Techniques for Advanced Battery Development

The advancement of battery technology necessitates a profound understanding of the physical, chemical, and electrochemical processes at various scales. Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM) has emerged as an indispensable tool for battery research, enabling high-resolution imaging and multiscale analysis from macroscopic structures to nanoscale features at multiple dimensions. This review starts with introducing the fundamentals of focused beam and matter interaction under the framework of FIB-SEM instrumentation and then explores the application of FIB-SEM characterization on rechargeable batteries (lithium-ion batteries and beyond), with a focus on cathode and anode materials, as well as solid-state batteries. Analytical techniques such as Energy Dispersive X-ray Spectroscopy, Electron Backscatter Diffraction, and Secondary Ion Mass Spectrometry are discussed in the context of their ability to provide detailed morphological, crystallographic, and chemical insights. The review also highlights several emerging applications in FIB-SEM including workflow to maintain sample integrity, in-operando characterization, and correlative microscopy. The integration of Artificial Intelligence for enhanced data analysis and predictive modeling, which significantly improves the accuracy and efficiency of material characterization, is also discussed. Through comprehensive multimodal and multiscale analysis, FIB-SEM is poised to significantly advance the understanding and development of high-performance battery materials, paving the way for future innovations in battery technology.

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来源期刊
Chemical Reviews
Chemical Reviews 化学-化学综合
CiteScore
106.00
自引率
1.10%
发文量
278
审稿时长
4.3 months
期刊介绍: Chemical Reviews is a highly regarded and highest-ranked journal covering the general topic of chemistry. Its mission is to provide comprehensive, authoritative, critical, and readable reviews of important recent research in organic, inorganic, physical, analytical, theoretical, and biological chemistry. Since 1985, Chemical Reviews has also published periodic thematic issues that focus on a single theme or direction of emerging research.
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