• DocumentCode
    1151797
  • Title

    An iterative approximation for the charge-storage capacity of MOS capacitors with an application to DRAM trench capacitor memory cells

  • Author

    Perry, Reginald J. ; Uyemura, John P.

  • Author_Institution
    Coll. of Eng., Florida State Univ., Tallahassee, FL, USA
  • Volume
    42
  • Issue
    12
  • fYear
    1995
  • fDate
    12/1/1995 12:00:00 AM
  • Firstpage
    2217
  • Lastpage
    2225
  • Abstract
    An iterative approximation based on the charge-sheet model which calculates the charge-storage capacity of a metal-oxide-semiconductor (MOS) capacitor is presented. The iterative approximation combines the numerical accuracy available from two-dimensional semiconductor device simulations with the computational efficiency normally associated with closed-form solutions. In addition, under certain process and bias conditions, the iterative solution predicts behavior not demonstrated by the closed-form equations, but verified by results obtained from device simulations. The approximation is therefore useful in the design of MOS-based circuits when quick but accurate estimations of charge-storage capacity are required. The iterative approximation is applied to estimate the charge-storage capacity of a variety of dynamic random-access memory (DRAM) trench capacitor cells. Several examples comparing charge-storage capacity approximations obtained from numerical semiconductor device simulations, closed-form solutions, and the proposed iterative approximation are given for inversion-store (IST), diffusion-store (DST), substrate-plate (SPT), and stacked (ST) trench-type DRAM cells. As expected, the iterative solution consistently produces results that compared favorable to the results obtained from numerical device simulations but at a much lower computational cost
  • Keywords
    DRAM chips; MOS capacitors; electric charge; iterative methods; semiconductor device models; DRAM trench capacitor memory cells; MOS capacitors; MOS-based circuits; bias conditions; charge-sheet model; charge-storage capacity; closed-form solutions; diffusion-store cell; dynamic RAM; dynamic random-access memory; inversion-store cell; iterative approximation; stacked trench-type cell; substrate-plate cell; Circuit simulation; Closed-form solution; Computational efficiency; Computational modeling; Equations; MOS capacitors; Numerical simulation; Predictive models; Random access memory; Semiconductor devices;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.477782
  • Filename
    477782