Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (1)
  • Open Access

    ARTICLE

    Flexible Memristive Devices Based on Graphene Quantum-Dot Nanocomposites

    Sung Won Hwang, Dae-Ki Hong*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3283-3297, 2022, DOI:10.32604/cmc.2022.025931

    Abstract Artificial neural networks (ANNs) are attracting attention for their high performance in various fields, because increasing the network size improves its functioning. Since large-scale neural networks are difficult to implement on custom hardware, a two-dimensional (2D) structure is applied to an ANN in the form of a crossbar. We demonstrate a synapse crossbar device from recent research by applying a memristive system to neuromorphic chips. The system is designed using two-dimensional structures, graphene quantum dots (GQDs) and graphene oxide (GO). Raman spectrum analysis results indicate a D-band of 1421 cm−1 that occurs in the disorder; band is expressed as an atomic… More >

Displaying 1-10 on page 1 of 1. Per Page