Analytical Modeling of Read Margin Probability Distribution Function of Static Random Access Memory Cells in Presence of Process Variations and Negative Bias Temperature Instability Effect

2012 ◽  
Vol 51 (11R) ◽  
pp. 114301 ◽  
Author(s):  
Behrouz Afzal ◽  
Ali Afzali-Kusha ◽  
Massoud Pedram
2011 ◽  
Vol 9 ◽  
pp. 255-261 ◽  
Author(s):  
E. Glocker ◽  
D. Schmitt-Landsiedel ◽  
S. Drapatz

Abstract. In current process technologies, NBTI (negative bias temperature instability) has the most severe aging effect on static random access memory (SRAM) cells. This degradation effect causes loss of stability. In this paper countermeasures against this hazard are presented and quantified via simulations in 90 nm process technologies by the established metrics SNMread, SNMhold, Iread and Write Level. With regard to simulation results and practicability best candidates are chosen and, dependent on individual preferences at memory cell design, the best countermeasure in each case is recommended.


Author(s):  
Phil Schani ◽  
S. Subramanian ◽  
Vince Soorholtz ◽  
Pat Liston ◽  
Jamey Moss ◽  
...  

Abstract Temperature sensitive single bit failures at wafer level testing on 0.4µm Fast Static Random Access Memory (FSRAM) devices are analyzed. Top down deprocessing and planar Transmission Electron Microscopy (TEM) analyses show a unique dislocation in the substrate to be the cause of these failures. The dislocation always occurs at the exact same location within the bitcell layout with respect to the single bit failing data state. The dislocation is believed to be associated with buried contact processing used in this type of bitcell layout.


Author(s):  
Felix Beaudoin ◽  
Stephen Lucarini ◽  
Fred Towler ◽  
Stephen Wu ◽  
Zhigang Song ◽  
...  

Abstract For SRAMs with high logic complexity, hard defects, design debug, and soft defects have to be tackled all at once early on in the technology development while innovative integration schemes in front-end of the line are being validated. This paper presents a case study of a high-complexity static random access memory (SRAM) used during a 32nm technology development phase. The case study addresses several novel and unrelated fail mechanisms on a product-like SRAM. Corrective actions were put in place for several process levels in the back-end of the line, the middle of the line, and the front-end of the line. These process changes were successfully verified by demonstrating a significant reduction of the Vmax and Vmin nest array block fallout, thus allowing the broader development team to continue improving random defectivity.


2017 ◽  
Vol 11 (1) ◽  
pp. 89-94 ◽  
Author(s):  
Ihsen Alouani ◽  
Wael M. Elsharkasy ◽  
Ahmed M. Eltawil ◽  
Fadi J. Kurdahi ◽  
Smail Niar

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1776 ◽  
Author(s):  
Mingyang Gong ◽  
Hailong Liu ◽  
Run Min ◽  
Zhenglin Liu

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