• DocumentCode
    165408
  • Title

    A memristor-based memory cell with no refresh

  • Author

    Junsangsri, Pilin ; Jie Han ; Lombardi, Floriana

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2014
  • fDate
    18-21 Aug. 2014
  • Firstpage
    947
  • Lastpage
    950
  • Abstract
    This paper analyzes and improves the performance of a hybrid memory cell consisting of a memristor and ambipolar transistors. This work extends a previous design by efficiently biasing the memristor (as controlled by the ambipolar transistors), such that no refresh operation is now required. By utilizing macroscopic models, the features of the cell are characterized for the memory operations and no modification is needed to the cell circuit other than the memristor biasing scheme. A detailed treatment of the memory cell with respect to the new biasing scheme of the memristor is provided. Simulation results show that the proposed memory cell has superior performance compared with the previous memristor-based cell.
  • Keywords
    memristors; random-access storage; transistor circuits; ambipolar transistors; cell circuit; hybrid memory cell; macroscopic models; memristor biasing scheme; memristor-based memory cell; nonvolatile storage element; Logic gates; Memory management; Memristors; Simulation; Threshold voltage; Transistors; Ambipolar Transistor; Emerging Technology; Memory Cell; Memristor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nanotechnology (IEEE-NANO), 2014 IEEE 14th International Conference on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/NANO.2014.6967951
  • Filename
    6967951