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
Link To Document :
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