Lithium metal is expected to be next-generation anode because of its low redox potential (-3.04 V vs SHE.) and high specific capacity (3860 mAh g-1), which can achieve high energy density by matching with sulfur or oxygen cathode.1 However, Li metal anode is not viable until now due to the uncontrollable morphology and high activity during Li plating/stripping.2 Especially the growth of Li dendrites, the formation of dead Li, and the broken of unstable SEI (solid electrolyte interphase), result in significant safety risk and low coulombic efficiency. Therefore, to obtain the stable Li metal anode, it’s important to investigate the behavior of Li plating/stripping and the properties of SEI.In recent years, concentrated electrolyte has received great attention as an effective means to improve the performance of lithium anode.3 With the development of these electrolytes, new insights into lithium morphology and SEI composition have also emerged. Compared with that in dilute electrolytes, the solvation structures of Li ions in concentrated electrolytes are changed, thus the SEI components are also changed from solvent derived to lithium salt anion derived.4 As a result, the morphology of Li and the performance of lithium metal anode are effectively improved.5 However, how these changes in solvation structure and SEI composition affect lithium morphology during cycling, which is helpful to gain more information about the basic Li behavior, remains unclear.This study endeavors to elucidate the Li plating/stripping behaviors in concentrated electrolyte by operando X-ray computed tomography. The morphological evolution of Li on Cu current collector surface is investigated. In particular, the growth of Li dendrites and the formation of dead Li, as well as the evolution process between them, have received special attention. These results are helpful to understand basic Li plating/stripping behaviors during cycling and provide guidance to lithium metal anode improvement. Acknowledgment This work was financially supported by the JST, GteX Project (Grant Number: JPMJGX23S3).
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