Effects of Crystallinity and Defects of Layered Carbon Materials on Potassium Storage: A Review and Prediction

结晶度 材料科学 石墨烯 阳极 石墨 化学工程 纳米技术 碳纤维 工艺工程 复合材料 化学 复合数 冶金 工程类 物理化学 电极
作者
Xiaoxu Liu,Tianyi Ji,Hai Guo,Hui Wang,Junqi Li,Hui Liu,Zexiang Shen
出处
期刊:Electrochemical energy reviews [Springer Science+Business Media]
卷期号:5 (2): 401-433 被引量:112
标识
DOI:10.1007/s41918-021-00114-6
摘要

Layered carbon materials (LCMs) are composed of basic carbon layer units, such as graphite, soft carbon, hard carbon, and graphene. While they have been widely applied in the anode of potassium-ion batteries, the potassium storage mechanisms and performances of various LCMs are isolated and difficult to relate to each other. More importantly, there is a lack of a systematic understanding of the correlation between the basic microstructural unit (crystallinity and defects) and the potassium storage behavior. In this review, we explored the key structural factors affecting the potassium storage in LCMs, namely, the crystallinity and defects of carbon layers, and the key parameters (La, Lc, d002, ID/IG) that characterize the crystallinity and defects of different carbon materials were extracted from various databases and literature sources. A structure–property database of LCMs was thus built, and the effects of these key structural parameters on the potassium storage properties, including the capacity, the rate and the working voltage plateau, were systematically analyzed. Based on the structure–property database analysis and the guidance of thermodynamics and kinetics, a relationship between various LCMs and potassium storage properties was established. Finally, with the help of machine learning, the key structural parameters of layered carbon anodes were used for the first time to predict the potassium storage performance so that the large amount of research data in the database could more effectively guide the scientific research and engineering application of LCMs in the future.Graphic AbstractA research review on layered carbon materials for potassium ion batteries is presented. The key structure factors, i.e. crystallinity and defects, have an essential effect on potassium storage properties. The key structure parameters that characterize the crystallinity and defects of different carbon materials were discussed. Furthermore, the structure–property database was established and applied. This work made a very kind attempt for future exploration.
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