Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems.

Journal: Chemical reviews
PMID:

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.

Authors

  • Ziyu Lv
    Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, P. R. China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Jingrui Chen
    Institute for Advanced Study, Shenzhen University, Shenzhen 518060, P. R. China.
  • Junjie Wang
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Ye Zhou
    Department of Cardiology, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
  • Su-Ting Han
    Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, P. R. China.