神经形态工程学
记忆电阻器
神经科学
人工智能
材料科学
计算机科学
计算机体系结构
人工神经网络
纳米技术
工程类
生物
电子工程
作者
Xiubin Yang,Cheng Zhang,Zheng Xu,Shuanglong Lu,Xinli Cheng,Shice Wei,Junwei Yuan,Yajuan Sun,Yang Li
出处
期刊:Nanoscale
[The Royal Society of Chemistry]
日期:2024-01-01
卷期号:16 (4): 1471-1489
被引量:1
摘要
To tackle the current crisis of Moore's law, a sophisticated strategy entails the development of multistable memristors, bionic artificial synapses, logic circuits and brain-inspired neuromorphic computing. In comparison with conventional electronic systems, iontronic memristors offer greater potential for the manifestation of artificial intelligence and brain-machine interaction. Organic iontronic memristive materials (OIMs), which possess an organic backbone and exhibit stoichiometric ionic states, have emerged as pivotal contenders for the realization of high-performance bionic iontronic memristors. In this review, a comprehensive analysis of the progress and prospects of OIMs is presented, encompassing their inherent advantages, diverse types, synthesis methodologies, and wide-ranging applications in memristive devices. Predictably, the field of OIMs, as a rapidly developing research subject, presents an exciting opportunity for the development of highly efficient neuro-iontronic systems in areas such as in-sensor computing devices, artificial synapses, and human perception.
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