• DocumentCode
    1160143
  • Title

    A New Direct Evaluation Method to Obtain the Data Retention Time Distribution of DRAM

  • Author

    Jin, Seonghoon ; Lee, Myoung Jin ; Yi, Jeong-Hyong ; Choi, Jae Hoon ; Kang, Dae Gwan ; Chung, In-Young ; Park, Young June ; Min, Hong Shick

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA
  • Volume
    53
  • Issue
    9
  • fYear
    2006
  • Firstpage
    2344
  • Lastpage
    2350
  • Abstract
    The authors have developed an efficient and accurate method to obtain the data retention time distribution of DRAM from the physics-based device simulation and the numerical integration of the probability space composed of three independent random variables, namely 1) the number, 2) the location, and 3) the energy level of traps, where each trap acts as a localized leakage source. Compared with the recently proposed Monte Carlo method, this method is much more efficient and free from the statistical error in the tail distribution. Furthermore, it can be easily applied to the problem involving a complex geometry and the nonuniform spatial distribution of traps. With this method, the retention time distribution of an 80-nm technology DRAM with the recess-channel-array transistor is studied
  • Keywords
    DRAM chips; Green´s function methods; Monte Carlo methods; nanotechnology; statistical analysis; 80 nm; DRAM; Green function methods; Monte Carlo method; RCAT; complex geometry; data retention time distribution; direct evaluation; independent random variables; leakage currents; nanotechnology; nonuniform spatial distribution; numerical integration; physics-based device simulation; probability; recess-channel-array transistor; statistical analysis; statistical error; tail distribution; traps; Energy states; Geometry; Leakage current; Numerical simulation; Power engineering and energy; Predictive models; Probability distribution; Random access memory; Random variables; Statistical analysis; DRAM; Data retention time; Green´s function methods; device simulations; leakage currents; recess-channel-array transistor (RCAT); statistical analysis;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2006.880821
  • Filename
    1677873