Intrinsic Vulnerability to Soft Errors and a Mitigation Technique by Layout Optimization on DICE Flip Flops in a 65 nm Bulk Process

2021 ◽  
pp. 1-1
Author(s):  
Fuma Mori ◽  
Mitsunori Ebara ◽  
Yuto Tsukita ◽  
Jun Furuta ◽  
Kazutoshi Kobayashi
Keyword(s):  
Soft Errors ◽  
Layout Optimization ◽  
Intrinsic Vulnerability ◽  
Mitigation Technique

Analysis of Induced End-of-Life Failures in SRAM Through Nanoprobing

2018 ◽  
Author(s):  
Oberon Dixon-Luinenburg ◽  
Jordan Fine
Keyword(s):  
End Of Life ◽  
Soft Errors ◽  
Cause Analysis ◽  
New Approach ◽  
Performance Loss ◽  
Root Cause ◽  
Long Period ◽  
Atomic Force ◽  
Stress Resultant ◽  
Voltage Stress

Abstract In this paper, we demonstrate a novel nanoprobing approach to establish cause-and-effect relationships between voltage stress and end-of-life performance loss and failure in SRAM cells. A Hyperion II Atomic Force nanoProber was used to examine degradation for five 6T cells on an Intel 14 nm processor. Ten minutes of asymmetrically applied stress at VDD=2 V was used to simulate a ‘0’ bit state held for a long period, subjecting each pullup and pulldown to either VDS or VGS stress. Resultant degradation caused read and hold margins to be reduced by 20% and 5% respectively for the ‘1’ state and 5% and 2% respectively for the ‘0’ state. ION was also reduced, for pulldown and pullup respectively, by 4.5% and 5.4% following VGS stress and 2.6% and 33.8% following VDS stress. Negative read margin failures, soft errors, and read time failures all become more prevalent with these aging symptoms whereas write stability is improved. This new approach enables highly specific root cause analysis and failure prediction for end-of-life in functional on-product SRAM.

Continuous layout optimization of urban fire station

2013 ◽  
Vol 32 (3) ◽  
pp. 852-854
Author(s):  
Hou-qing LU ◽  
Hui YUAN ◽  
Cheng LIU
Keyword(s):  
Layout Optimization ◽  
Urban Fire ◽  
Fire Station

scholarly journals Using intrinsic vulnerability and anthropogenic impacts to evaluate and compare groundwater risk potential at northwestern and western coastal aquifers of Sri Lanka through coupling DRASTIC and GIS approach

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Ratha Phok ◽  
Nandalal Kosgallana Duwage Wasantha ◽  
Weerakoon Sumana Bandara ◽  
Pitawala Herath Mudiyanselage Thalapitiye Ge ◽  
Dharmagunawardhane Hingure Arachchilage
Keyword(s):  
Sri Lanka ◽  
Groundwater Contamination ◽  
Anthropogenic Impacts ◽  
Shallow Groundwater ◽  
Monitoring Network ◽  
Groundwater Vulnerability ◽  
Moderate Risk ◽  
Pollution Risk ◽  
Intrinsic Vulnerability ◽  
Contamination Risk

AbstractGroundwater vulnerability assessment has become a crucial step in successfully protecting groundwater against pollution. An attempt of this study has been made to evaluate groundwater contamination risk using intrinsic vulnerability and land-uses in Vanathavillu, Kalpitiya and Katana area in Sri Lanka, using coupled DRASTIC with GIS as feasible methodology. The findings reveal that the groundwater in the areas under study falls under very low to high contamination risk. The higher risk of contamination has been identified in most of the Kalpitiya (about 82%) with the moderate along the beach in the west and next to Puttalam lagoon in the northeast and southeast. This is mainly due to pollution risk inherent with intense vegetable cultivation, over pumping, shallow groundwater tables and permeable sandy soil. Vanathavillu is under very low to moderate contamination risk, in which the moderate risk (about 13%) has especially been found the center, central southwest and west of the area. The relative less deep groundwater tables, possible seepage from the underlying limestone aquifer and less permeable red earth soil could be cause for the moderate risk in the area. Furthermore, results show that the Katana has low to moderately high groundwater contamination risk. Nitrate has a good agreement with the different pollution risk classes and that nitrate can be used as an indicator of aquifer degradation inherent with land-use activities in the coastal areas. Groundwater quality monitoring network should be set up to minimize the anthropogenic acts, particularly in high and moderate contamination risk zones.

Mitigating Process Variability and Soft Errors at Circuit-Level for FinFETs

2021 ◽  
Author(s):  
Alexandra Zimpeck ◽  
Cristina Meinhardt ◽  
Laurent Artola ◽  
Ricardo Reis
Keyword(s):  
Soft Errors ◽  
Process Variability
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