光谱学
材料科学
电池(电)
纳米技术
物理
热力学
量子力学
功率(物理)
作者
Young Woo Choi,Gumin Kang,Seonghyun Kim,Y.-H. Cho,Jaewhan Oh,Dongho Kim,Jacob Choe,Jong Min Yuk,Pyuck‐Pa Choi,Yongsoo Yang,Sung‐Yoon Chung,Chi Won Ahn,Jongwoo Lim,Seungbum Hong
出处
期刊:EcoMat
[Wiley]
日期:2025-05-01
卷期号:7 (5)
被引量:12
摘要
ABSTRACT Multiscale imaging and spectroscopy play a pivotal role in understanding the structural, chemical, and dynamic behavior of battery materials, providing critical insights that drive advancements in performance, longevity, and safety. This review provides a comprehensive analysis of various imaging techniques, from macroscopic tools like x‐ray tomography to nanoscale methods such as atomic force microscopy and transmission electron microscopy. By categorizing these techniques based on spatial resolution, the review highlights their applications in resolving key issues like electrode degradation, dendrite formation, and phase transitions during battery operation. Moreover, the integration of machine learning accelerates data processing, enabling multiscale correlations and predictive modeling. The review underscores the necessity of multiscale approaches to optimize battery performance, safety, and lifespan, showcasing how emerging methodologies contribute to next‐generation energy storage technologies. image
科研通智能强力驱动
Strongly Powered by AbleSci AI