Statistical simulations of 6T-SRAM cell ageing using a reliability aware simulation flow

This work present the last development of a statistical reliability aware simulation flow from transistors to circuits. A TCAD calibration methodology based on statistical measurement of a 60nm bulk MOSFET is presented. Statistical compact models of fresh and aged transistors are extracted form larg...

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Published in:2015 45th European Solid State Device Research Conference (ESSDERC) pp. 238 - 241
Main Authors: Hussin, Razaidi, Franco, Jacopo, Vanderheyden, Annelies, Vanhaeren, Danielle, Horiguchi, Naoto, Kaczer, Ben, Asenov, Asen, Gerrer, Louis, Ding, Jie, Wang, Liping, Amoroso, Salvatore M., Cheng, Binjie, Reid, Dave, Weckx, Pieter, Simicic, Marco
Format: Conference Proceeding
Language:English
Published: IEEE 01-09-2015
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Abstract This work present the last development of a statistical reliability aware simulation flow from transistors to circuits. A TCAD calibration methodology based on statistical measurement of a 60nm bulk MOSFET is presented. Statistical compact models of fresh and aged transistors are extracted form large ensembles of TCAD simulations results. Compact models representing intermediate stages of degradation, not captured in the TCAD simulations, are interpolated using a proprietary compact model generator. Statistical simulations results for a 6T-SRAM cell aging are presented following various aging scenario for both static noise margin and intrinsic write time.
AbstractList This work present the last development of a statistical reliability aware simulation flow from transistors to circuits. A TCAD calibration methodology based on statistical measurement of a 60nm bulk MOSFET is presented. Statistical compact models of fresh and aged transistors are extracted form large ensembles of TCAD simulations results. Compact models representing intermediate stages of degradation, not captured in the TCAD simulations, are interpolated using a proprietary compact model generator. Statistical simulations results for a 6T-SRAM cell aging are presented following various aging scenario for both static noise margin and intrinsic write time.
Author Asenov, Asen
Weckx, Pieter
Ding, Jie
Wang, Liping
Reid, Dave
Amoroso, Salvatore M.
Kaczer, Ben
Simicic, Marco
Cheng, Binjie
Gerrer, Louis
Horiguchi, Naoto
Franco, Jacopo
Hussin, Razaidi
Vanderheyden, Annelies
Vanhaeren, Danielle
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  fullname: Simicic, Marco
  organization: imec, Leuven, Belgium
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Snippet This work present the last development of a statistical reliability aware simulation flow from transistors to circuits. A TCAD calibration methodology based on...
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StartPage 238
SubjectTerms Aging
Degradation
Integrated circuit modeling
MOS devices
Semiconductor process modeling
Threshold voltage
Transistors
Title Statistical simulations of 6T-SRAM cell ageing using a reliability aware simulation flow
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