神经形态工程学
记忆电阻器
背景(考古学)
材料科学
计算机科学
钙钛矿(结构)
数码产品
纳米技术
电子工程
光电子学
电气工程
工程类
人工神经网络
人工智能
生物
古生物学
化学工程
作者
Soumitra Satapathi,Kanishka Raj,Yukta Yukta,Mohammad Adil Afroz
出处
期刊:Physical review applied
[American Physical Society]
日期:2022-07-28
卷期号:18 (1)
被引量:23
标识
DOI:10.1103/physrevapplied.18.017001
摘要
Memristors have great potential in next-generation smart electronics and neuromorphic computing. The halide perovskites (HP) receive increasing attention in this context, due to their mixed ionic\penalty1000-\hskip0ptelectronic conduction behavior, adjustable band gap, facile fabrication, low operating current, and ultralow leakage current. Advanced synaptic functions from HP memristors could be realized via more complex, three-terminal device architectures with low energy consumption. This review provides detailed insight into the operating mechanism, recent advancements, and remaining challenges of HP memristors, and suggests future prospects for the development of next-generation neuromorphic devices.
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