TY - GEN
T1 - Modeling of the reliability degradation of a FinFET-based SRAM due to bias temperature instability, hot carrier injection, and gate oxide breakdown
AU - Zhang, Rui
AU - Liu, Taizhi
AU - Yang, Kexin
AU - Milor, Linda
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Bias temperature instability (BTI), hot carrier injection (HCI), and gate oxide breakdown (GOBD) degrade the performance of circuits, such as FinFET-based SRAMs. In this paper, a unified modeling methodology is applied for SRAM reliability degradation due to BTI and HCI, which are implemented with a time-dependent threshold voltage model, and GOBD which is implemented with a comprehensive current model. The applicability of degradation models is verified through fitting and comparison with the measured results. SRAM cell lifetime due to different mechanisms is calculated with Monte Carlo simulations to determine the performance degradation. The combined lifetime distribution and failure probability of an SRAM is further analyzed while considering the effect of Error Correcting Codes (ECC). Based on the different degrees of sensitivity, the potential of designing optimal accelerated life tests due to different failure mechanisms is discussed.
AB - Bias temperature instability (BTI), hot carrier injection (HCI), and gate oxide breakdown (GOBD) degrade the performance of circuits, such as FinFET-based SRAMs. In this paper, a unified modeling methodology is applied for SRAM reliability degradation due to BTI and HCI, which are implemented with a time-dependent threshold voltage model, and GOBD which is implemented with a comprehensive current model. The applicability of degradation models is verified through fitting and comparison with the measured results. SRAM cell lifetime due to different mechanisms is calculated with Monte Carlo simulations to determine the performance degradation. The combined lifetime distribution and failure probability of an SRAM is further analyzed while considering the effect of Error Correcting Codes (ECC). Based on the different degrees of sensitivity, the potential of designing optimal accelerated life tests due to different failure mechanisms is discussed.
KW - Bias temperature instability
KW - Error Correcting Codes
KW - FinFET
KW - Gate oxide breakdown
KW - Hot carrier injection
KW - Performance
KW - Reliability
KW - SRAM
UR - https://www.scopus.com/pages/publications/85047801646
U2 - 10.1109/IIRW.2017.8361243
DO - 10.1109/IIRW.2017.8361243
M3 - Conference contribution
AN - SCOPUS:85047801646
T3 - IEEE International Integrated Reliability Workshop Final Report
SP - 1
EP - 4
BT - 2017 IEEE International Integrated Reliability Workshop, IIRW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Integrated Reliability Workshop, IIRW 2017
Y2 - 8 October 2017 through 12 October 2017
ER -