电解质
锂(药物)
离子电导率
材料科学
阳极
快离子导体
聚合物
化学工程
电导率
电介质
硬脂酸盐
无机化学
电极
化学
复合材料
物理化学
内分泌学
工程类
医学
光电子学
作者
Xuechun Lou,Jun Zhong,Danpeng Cheng,Qigao Han,Fu-He Wang,Shuaijing Ji,Wuxin Sha,Fengqian Wang,Jie Tian,Weixin Zhang,Shun Tang,Yuan‐Cheng Cao,Shijie Cheng
标识
DOI:10.1016/j.cej.2023.143681
摘要
Developing Li-metal batteries (LMBs) requires stability and uniform deposition of lithium during operation. However, lithium dendrites and the extremely low conductivity of the quasi-solid polymer electrolyte (qSPE) limit their performance. A high-throughput screen has been carried out here with the assistance of artificial intelligence (AI) to find a promising electrolyte material – Lithium stearate, which is first used to prepare and form qSPE. The qSPE is named as lithium stearate electrolyte (LST) possessing high Li+ ionic transference number (0.67) and conductivity (8.08 × 10−4 S cm−1) at 25 °C, which is attributed to the lithium stearate interweaving and poly(tetrafluoroethylene) (PTFE) fibrilization. Furthermore, the ultrahigh dielectric properties (ε = 792 @ 100 Hz) of LST fixed the anti-ion pair, (stable anion) minimized the space charge region on the surface of the anode. At the same time, the higher LUMO value of LST inhibits the Li-dendrite growth effectively. The excellent properties of quasi-solid polymer electrolytes make them suitable to be used in solid LMBs.
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