• DocumentCode
    3497751
  • Title

    Decoding of stochastically assembled nanoarrays

  • Author

    Gojman, Benjamin ; Rachlin, Eric ; Savage, John E.

  • Author_Institution
    Dept. of Comput. Sci., Brown Univ., Providence, RI, USA
  • fYear
    2004
  • fDate
    19-20 Feb. 2004
  • Firstpage
    11
  • Lastpage
    18
  • Abstract
    A key challenge that face nanotechnologies is controlling the uncertainty introduced by stochastic self-assembly. In this paper we explore architectural and manufacturing strategies to cope with this uncertainty when assembling nanoarrays, crossbars composed of two orthogonal sets of coded parallel nanowires. Because the encodings of nanowires that are assembled into a nanoarray cannot be predicted in advance, a discovery process is needed and specialized decoding circuitry must be employed. We have developed a probabilistic method of analysis so that various design strategies can be evaluated.
  • Keywords
    assembling; decoding; nanoelectronics; nanowires; stochastic processes; uncertainty handling; architectural strategy; crossbars structure; decoding circuitry; design strategies; discovery process; manufacturing strategies; nanoarrays assembling; nanotechnologies; parallel nanowires; probabilistic method; stochastic self-assembly; stochastically assembled nanoarrays; uncertainty controlling; Assembly; Decoding; Epitaxial layers; Nanowires; Semiconductivity; Semiconductor materials; Stochastic processes; Switches; Uncertainty; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI, 2004. Proceedings. IEEE Computer society Annual Symposium on
  • Print_ISBN
    0-7695-2097-9
  • Type

    conf

  • DOI
    10.1109/ISVLSI.2004.1339502
  • Filename
    1339502