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Cited by 162

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Mechanism understanding for stripping electrochemistry of Li metal anode

Open access
Jiang, Feng‐Ni, Yang, Shi‐Jie, Liu, He, Cheng, Xin‐Bing, Liu, Lei, Xiang, Rong, Zhang, Qiang, Kaskel, Stefan, Huang, Jia‐Qi·2021·SusMat

Abstract

The pursuit of sustainable energy has a great request for advanced energy storage devices. Lithium metal batteries are regarded as a potential electrochemical storage system because of the extremely high capacity and the most negative electrochemical potential of lithium metal anode. Dead lithium formed in the stripping process significantly contributes to the low efficiency and short lifespan of rechargeable lithium metal batteries. This review displays a critical review on the current research status about the stripping electrochemistry of lithium metal anode. The significance of stripping process to a robust lithium metal anode is emphasized. The stripping models in different electrochemical scenarios are discussed. Specific attention is paid to the understanding for the electrochemical principles of atom diffusion, electrochemical reaction, ion diffusion in solid electrolyte interphase (SEI), and electron transfer with the purpose to strengthen the insights into the behavior of lithium electrode stripping. The factors affecting stripping processes and corresponding solutions are summarized and categorized as follows: surface physics, SEI, operational and external factors. This review affords fresh insights to explore the lithium anode and design robust lithium metal batteries based on the comprehensive understanding of the stripping electrochemistry.

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Crossref · 10.1002/sus2.37

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Metadata

Authors
Jiang, F., Yang, S., Liu, H., Cheng, X., Liu, L., Xiang, R., Zhang, Q., Kaskel, S., & Huang, J.
Venue
SusMat
Publisher
Wiley
Published
2021-12
Volume
1
Issue
4
Pages
506-536
ISSN
2692-4552 (ISSN-L)
OpenAlex
W4206615872
Cited by
162
References
5
FWCI
8.79
Type
journal article
Language
en
Open access
gold

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.