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Advances in Engineering Research Possibilities and Challenges
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Research progress on lithium dendrite growth

Authors: Yajing Guo;

Research progress on lithium dendrite growth

Abstract

This article reviews the progress in the growth mechanisms, suppression strate-gies, and monitoring techniques of lithium dendrites. The high - capacity poten-tial of lithium - metal anodes is restricted by cycle decay, short - circuits, and thermal runaway caused by dendrites. Their growth originates from elec-tro-chemical imbalance and interfacial heterogeneity. Multi - physics models reveal the regulation rules of pore geometry and crystal orientation on mor-phology evolution. Suppression strategies center on constructing high - conduc-tivity LiF interfaces, designing 3D porous anodes, and pressure control. In - situ charac-terization technologies (such as X - ray tomography and fiber - optic sensing) realize dynamic monitoring of the coupled mechanisms of dendrite growth and SEI reconstruction. Current challenges involve cross - scale model verification and real - time monitoring technology development. In the future, it's necessary to combine machine learning with intelligent sensor networks to promote the practical application of high - safety lithium - metal batteries.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid