记忆电阻器
纳米技术
共价键
神经形态工程学
材料科学
亚胺
计算机科学
工程类
化学
人工智能
有机化学
人工神经网络
电气工程
催化作用
作者
Xiang Ma,Qiongshan Zhang,Bin Zhang
标识
DOI:10.1002/cplu.202500361
摘要
Covalent organic framework (COF)‐based memristors are promising for novel storage and neuromorphic computing applications. The ordered porous structure, tunable chemical composition, and exceptional stability of COFs offer an ideal material foundation for the development of high‐performance memristors. This review summarizes a classification method for COFs based on their distinctive bonding patterns, with particular emphasis on the key developmental milestones and functional applications of imine, amide, boronic ester, and vinylene‐based architectures. Lastly, a thorough discussion of the future challenges and prospects associated with COF‐based memristors is provided.
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