• DocumentCode
    18518
  • Title

    Modeling of Electrostatic QCA Wires

  • Author

    Dysart, Timothy J.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA
  • Volume
    12
  • Issue
    4
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    553
  • Lastpage
    560
  • Abstract
    This paper presents a yield analysis of molecular scale electrostatic QCA wires in the presence of a variety of manufacturing defects. Within this analysis, we compare wires of varying lengths and widths as thicker wires are frequently projected to be more tolerant to manufacturing defects. Additionally, we compare the simulation results of long wires to the yield rates predicted via probabilistic transfer matrix (PTM) modeling. This comparison demonstrates that PTM modeling is best used when the short wire segments used to estimate the yields of long wires have high yields.
  • Keywords
    cellular automata; molecular electronics; quantum dots; quantum wires; manufacturing defects; molecular scale electrostatic QCA wires; probabilistic transfer matrix modeling; short wire segments; Fault tolerance; molecular electronics; probabilistic transfer matrices; quantum-dot cellular automata (QCA); yield estimation;
  • fLanguage
    English
  • Journal_Title
    Nanotechnology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-125X
  • Type

    jour

  • DOI
    10.1109/TNANO.2013.2257834
  • Filename
    6497528