• DocumentCode
    3381129
  • Title

    Characterization of memristive Poly-Si Nanowires via empirical physical modelling

  • Author

    Archontas, Nikolaos ; Georgiou, Julius ; Ben Jamaa, M. Haykel ; Carrara, Sandro ; De Micheli, Giovanni

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    1675
  • Lastpage
    1678
  • Abstract
    Memristors are passive circuit elements that behave as resistors with memory. The recently illustrated experimental realization of memristive behaviour of Polysilicon Nanowires has triggered interest in this concept, which is promising to a wide variety of application areas that include neuromorphic circuits. In order to progress with practical implementations that use this technology we need to expand our understanding of the conduction mechanisms in these structures and of the underlying relationship between device behavior and process manufacturing parameters. In this paper we explore these mechanisms through detailed simulation, which includes model calibration and correlation with experimental results. Through fitting of the test results we identify a unique set of density of states that characterize the particular technology implemented.
  • Keywords
    memristors; nanowires; passive networks; silicon; Si; conduction mechanisms; empirical physical modelling; memristive poly-Si nanowires; memristors; neuromorphic circuits; passive circuit elements; polysilicon nanowires; Calibration; Circuit simulation; Fitting; Manufacturing processes; Memristors; Nanowires; Neuromorphics; Passive circuits; Resistors; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537496
  • Filename
    5537496