Covalent Organic Framework Electrolytes for Solid‐State Lithium Batteries: Designing Ion Highways for Next‐Generation Energy Storage

堆积 电解质 锂(药物) 材料科学 电导率 离子键合 纳米技术 离子电导率 离子 共价有机骨架 储能 膜 共价键 离子运输机 频道(广播) 计算机科学 化学工程 化学物理 能量(信号处理) 想象 拓扑(电路) 纳米孔 工作(物理) 分子动力学 多尺度建模 自组装 快离子导体 超级电容器 导电体
作者
Rajesh Dhanushkotti,Ningaraju Gejjiganahalli Ningappa,Chimatahalli Shanthakumar Karthik,Karthik Vishweswariah,M.R. Anil Kumar,Jitendrasingh Rajpurohit,Jeremy I. G. Dawkins,Karim Zaghib
出处
期刊:Small [Wiley]
卷期号:22 (55): e75286-e75286
标识
DOI:10.1002/smll.75286
摘要

ABSTRACT Covalent organic frameworks (COFs) are emerging as a programmable platform for solid electrolytes in solid‐state lithium batteries, since their crystalline, periodically ordered nanochannels can be engineered to enable directional ion transport. These low‐resistance pathways promote directional lithium‐ion (Li + ) migration through a narrower, more spatially ordered distribution of coordination environments, achieved via site‐to‐site hopping and/or guest‐assisted vehicular motion within the channels. This review presents a design‐oriented framework linking COF structural descriptors to ion‐transport metrics through a cause‐effect‐performance relationship. We first summarize the Li + transport mechanism in confined COF channels, covering site‐to‐site hopping along pore walls and guest‐assisted vehicular motion in filled channels. We then correlate (i) topology and channel architecture, (ii) pore‐wall chemical functionality and framework charge, (iii) crystallinity, stacking registry, and channel alignment, and (iv) hybrid COF architectures with performance indicators including ionic conductivity (σ), activation energy (Ea), lithium‐ion transference number (tLi + ), transport anisotropy, and effective conductivity in working membranes (σeff). Through representative case studies, we highlight cases where high intrinsic channel transport does and does not translate into device‐relevant σeff. Finally, we propose standardized reporting practices and device‐level benchmarks to accelerate the shift from empirical materials discovery toward predictive ion‐highway engineering for next‐generation solid‐state lithium batteries.
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