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Mechanothermal-milling-assisted removal of native passivation layer for refreshing lithium metal anodes
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Title
Mechanothermal-milling-assisted removal of native passivation layer for refreshing lithium metal anodes
Issued Date
2024-08
Citation
Park, Sanghyeon. (2024-08). Mechanothermal-milling-assisted removal of native passivation layer for refreshing lithium metal anodes. Energy Storage Materials, 71. doi: 10.1016/j.ensm.2024.103579
Type
Article
Author Keywords
Native passivation layerMechanothermal-milling methodInteracial evolutionLithium metal anodesLithium metal batteries
Keywords
HIGH-ENERGYBATTERIESSURFACECHALLENGESGROWTHSAFEELECTRODEBEHAVIOR
ISSN
2405-8297
Abstract
Securing the stable and reliable operation of high-energy lithium (Li) metal batteries (LMBs) is crucial for fundamental studies and practical applications. However, commercial Li metal anodes (LMAs) suffer from unreliable pre-passivation during vendor-specific manufacturing, which deteriorates their surface quality and compromises the reproducibility of novel post-treatments and new electrolytes. To avoid chemical and structural degradation originating from the initial LMA, this study presents a mechanothermal milling (MTM) method using heating blades to smoothly peel off the native passivation layer (NPL) on the LMA surface, thereby exposing near-fresh Li. Compared to as-received LMA, the LMA revitalized by the MTM process (MTM-Li) exhibited faster kinetics and less interfacial resistance, promoting spatially uniform, dendrite-less Li plating and pit-less Li stripping. The MTM-guided surface equalization of the LMA enables an accurate comparison of the electrolyte-derived SEI properties, which is essential for identifying an electrolyte that is genuinely compatible with freshly exposed Li. By combining it with highly stable electrolytes, MTM-Li can regulate the structural evolution of LMAs, effectively securing cycling stability for LMBs, even under stringent conditions. © 2024 Elsevier B.V.
URI
http://hdl.handle.net/20.500.11750/57163
DOI
10.1016/j.ensm.2024.103579
Publisher
Elsevier
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