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Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems

Authors :
Ye Zhou
Yan Wang
Jingrui Chen
Junjie Wang
Ziyu Lv
Su-Ting Han
Source :
Chemical Reviews. 120:3941-4006
Publication Year :
2020
Publisher :
American Chemical Society (ACS), 2020.

Abstract

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.

Details

ISSN :
15206890 and 00092665
Volume :
120
Database :
OpenAIRE
Journal :
Chemical Reviews
Accession number :
edsair.doi.dedup.....fc8fe2b6c157af9649bd827380048d2c
Full Text :
https://doi.org/10.1021/acs.chemrev.9b00730