• DocumentCode
    2105660
  • Title

    Modeling of STT-MTJ for low power embedded memory applications: A comparative review

  • Author

    Halawani, Yasmin ; Mohammad, Baker ; Al-Qutayri, Mahmoud ; Saleh, Hani

  • Author_Institution
    Electr. & Comput. Eng. Dept., Khalifa Univ., Abu-Dhabi, United Arab Emirates
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    719
  • Lastpage
    722
  • Abstract
    Spin Transfer Torque RAM (STT-RAM) has emerged as a potential candidate for universal memory. The lack of comprehensive electrical modeling for the device is hindering the adaption and design space exploration of the device. In this paper, we investigate the existing models of Spin Transfer Torque - Magnetic Tunnel Junction (STT-MTJ) along with the different implementation tools available (Spice, Verilog-A, Micro-Magnetic Simulator). The study will select the model which most resembles the device´s physical parameters including static and dynamic stochastic intrinsic properties. In addition, the selected model is used to investigate several design techniques that can improve power reduction for embedded applications.
  • Keywords
    logic design; low-power electronics; magnetic tunnelling; random-access storage; stochastic processes; STT-MTJ; dynamic stochastic intrinsic properties; low power embedded memory applications; magnetic tunnel junction; spin transfer torque RAM; static stochastic intrinsic properties; universal memory; Magnetic tunneling; Magnetization; Mathematical model; Random access memory; Switches; Thermal stability; Torque; MTJ; STTRAM; embedded memory; low power; modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/ICECS.2013.6815515
  • Filename
    6815515