By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
R. J. Perry ; Coll. of Eng., Florida State Univ., Tallahassee, FL, USA ; J. P. Uyemura

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

Published in:

IEEE Transactions on Electron Devices  (Volume:42 ,  Issue: 12 )