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Transient Voltammetry with Ultramicroelectrodes Reveals the Electron Transfer Kinetics of Lithium Metal Anodes

Boyle, David T., Kong, Xian, Pei, Allen, Rudnicki, Paul E., Shi, Feifei, Huang, William, Bao, Zhenan, Qin, Jian, Cui, Yi·2020·ACS Energy Letters

Abstract

Fully understanding the mechanism of lithium metal deposition is critical for the development of rechargeable lithium battery anodes. The heterogeneous electron transfer kinetics are an important aspect of lithium electrodeposition, but they have been difficult to measure and understand. Here, we use transient voltammetry with ultramicroelectrodes to explicitly investigate the electron transfer kinetics of lithium electrodeposition. The results deviate from the Butler–Volmer model of electrode kinetics; instead, a Marcus model accurately describes the electron transfer. Measuring the kinetics in a series of electrolytes shows the mechanism of lithium deposition under electron transfer control is consistent with the general framework of Marcus theory. Comparison of the transient voltammetry results to electrochemical impedance spectra provides a strategy for understanding how the interplay of the electron transfer and mass transport resistances affect the morphology of lithium.

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Metadata

Authors
Boyle, D. T., Kong, X., Pei, A., Rudnicki, P. E., Shi, F., Huang, W., Bao, Z., Qin, J., & Cui, Y.
Venue
ACS Energy Letters
Published
2020-02-03
Volume
5
Issue
3
Pages
701-709
ISSN
2380-8195 (ISSN-L)
OpenAlex
W3004593247
Cited by
197
References
1
FWCI
7.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transient Voltammetry with Ultramicroelectrodes Reveals the Electron Transfer Kinetics of Lithium Metal Anodes. https://app.cochat.ai/papers/10.1021/acsenergylett.0c00031
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Boyle, D. T., Kong, X., Pei, A., Rudnicki, P. E., Shi, F., Huang, W., Bao, Z., Qin, J., & Cui, Y. (2020). Transient Voltammetry with Ultramicroelectrodes Reveals the Electron Transfer Kinetics of Lithium Metal Anodes. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.0c00031

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

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