• DocumentCode
    2532662
  • Title

    Cellular nonlinear network based on semiconductor tunneling structure with a self-assembled quantum dot layer

  • Author

    Khitun, Alexander ; Wang, Kang L.

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • fYear
    2004
  • fDate
    16-19 Aug. 2004
  • Firstpage
    161
  • Lastpage
    163
  • Abstract
    We study the realization of an original cellular nonlinear network (CNN) using a semiconductor tunneling structure. The elementary logic cell of the proposed CNN consists of a couple of resonant tunneling diodes (RTD) connected in series through a quantum dot. The local interconnections between the nano-cells are achieved via the tunneling in the quantum dot layer. The use of tunneling effects for interconnection resolves the problem of nano-wiring and allows us to enhance the network´s computing abilities (realize a number of logic functions in one module). Based on approximate tunneling characteristics, examples of image processing are simulated.
  • Keywords
    cellular logic; cellular neural nets; image processing; interconnections; resonant tunnelling diodes; self-assembly; semiconductor quantum dots; CNN; RTD; cellular nonlinear network; elementary logic cell; image processing; interconnections; logic functions; nanocells; resonant tunneling diodes; self-assembled quantum dot layer; semiconductor tunneling structure; tunneling effects; Cellular networks; Cellular neural networks; Computational modeling; Computer networks; Image processing; Logic functions; Quantum dots; Resonant tunneling devices; Self-assembly; Semiconductor diodes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nanotechnology, 2004. 4th IEEE Conference on
  • Print_ISBN
    0-7803-8536-5
  • Type

    conf

  • DOI
    10.1109/NANO.2004.1392283
  • Filename
    1392283