DocumentCode :
3609511
Title :
Single-Event Upset Prediction in SRAMs Account for On-Transistor Sensitive Volume
Author :
Wang Tianqi ; Liyi Xiao ; Mingxue Huo ; Bin Zhou ; Qi Chunhua ; Liu Shanshan ; Cao Xuebing ; Zhang Rongsheng ; Guo Jing
Author_Institution :
Micro-Electron. Center, Harbin Inst. of Technol., Harbin, China
Volume :
62
Issue :
6
fYear :
2015
Firstpage :
3207
Lastpage :
3215
Abstract :
In this paper, single-event upset (SEU) is predicted using a combination of technology computer aided design (TCAD) and Geant4 Monte Carlo simulations. According to the layout topology of a 65 nm complementary metal-oxide-semiconductor (CMOS) static random access memory (SRAM) arrays, the sensitive volumes (SVs) of off and on-transistors were calibrated by TCAD using novel circuit schematics. The effects of on-transistor charge collection on SEU were studied, and a novel criterion for SEU occurrence is proposed. Heavy ion simulation results indicate that the probability of SEU recovery increased with increased ion energy and striking tilt. The simulated SEU cross section and multiple cell upsets (MCUs) percentage based on the proposed method are in agreement with the experimental data for 6 T SRAM cells, which were fabricated using 65 nm processing technology.
Keywords :
CMOS memory circuits; Monte Carlo methods; SRAM chips; logic design; radiation hardening (electronics); technology CAD (electronics); 6T SRAM cells; CMOS static random access memory; Geant4 Monte Carlo simulations; MCU; SEU cross section; SRAM arrays; TCAD; circuit schematics; complementary metal-oxide-semiconductor; heavy ion simulation; ion energy; multiple cell upsets; on-transistor charge collection; on-transistor sensitive volume; single-event upset prediction; size 65 nm; striking tilt; technology computer aided design; Calibration; Inverters; MOS devices; Monte Carlo methods; Predictive models; Random access memory; Single event upsets; Transistors; Monte Carlo simulations; SRAM; TCAD; single-event upset (SEU); soft error prediction;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2015.2480880
Filename :
7312501
Link To Document :
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