神经形态工程学
记忆电阻器
量子点
数码产品
闪存
计算机科学
纳米技术
计算机数据存储
信息存储
计算机体系结构
电气工程
嵌入式系统
人工智能
计算机硬件
人工神经网络
材料科学
工程类
数据库
作者
Ziyu Lv,Yan Wang,Jingrui Chen,Junjie Wang,Ye Zhou,Su‐Ting Han
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2020-03-23
卷期号:120 (9): 3941-4006
被引量:196
标识
DOI:10.1021/acs.chemrev.9b00730
摘要
The continued growth in the demand of data storage and processing has spurred the development of high-performance storage technologies and brain-inspired neuromorphic hardware. Semiconductor quantum dots (QDs) offer an appealing option for these applications since they combine excellent electronic/optical properties and structural stability and can address the requirements of low-cost, large-area, and solution-based manufactured technologies. Here, we focus on the development of nonvolatile memories and neuromorphic computing systems based on QD thin-film solids. We introduce recent advances of QDs and highlight their unique electrical and optical features for designing future electronic devices. We also discuss the advantageous traits of QDs for novel and optimized memory techniques in both conventional flash memories and emerging memristors. Then, we review recent advances in QD-based neuromorphic devices from artificial synapses to light-sensory synaptic platforms. Finally, we highlight major challenges for commercial translation and consider future directions for the postsilicon era.
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