4.8 Review

Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems

Journal

CHEMICAL REVIEWS
Volume 120, Issue 9, Pages 3941-4006

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemrev.9b00730

Keywords

-

Funding

  1. Natural Science Foundation of China [61974093]
  2. Guangdong Provincial Department of Science and Technology [2018B030306028]
  3. Guangdong Province Special Support Plan for High-Level Talents [2017TQ04 x 082]
  4. Science and Technology Innovation Commission of Shenzhen [JCYJ20180507182042530, JCYJ20180507182000722, JCYJ20170818143618288, JCYJ20180305124214580]
  5. China Postdoctoral Science Foundation [2018M630985]
  6. Natural Science Foundation of SZU [860-000002110394]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available