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Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems
- 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.
- Subjects :
- Artificial neural network
010405 organic chemistry
business.industry
Chemistry
Nanotechnology
General Chemistry
Memristor
010402 general chemistry
01 natural sciences
0104 chemical sciences
law.invention
Semiconductors
Neuromorphic engineering
Semiconductor quantum dots
law
Quantum Dots
Computer data storage
Neural Networks, Computer
Electronics
business
Neuromorphic hardware
Subjects
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