DocumentCode :
608301
Title :
Investigation of stochastic implementation of reaction diffusion (RD) models for NBTI related interface trap generation
Author :
Naphade, T. ; Goel, Nishith ; Nair, P.R. ; Mahapatra, Santanu
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
fYear :
2013
fDate :
14-18 April 2013
Abstract :
Conventional H/H2 and poly H/H2 Reaction-Diffusion (RD) models are compared, and the poly version is explored as a more physically likely model for predicting interface trap (NIT) generation during Negative Bias Temperature Instability (NBTI) in p-MOSFETs. Stochastic implementations of the conventional H/H2 RD model and the poly H/H2 RD model are realized, and their equivalence to continuum implementations are investigated for large area devices. Impact of dimensionality (1D, 2D, 3D) and device size (W, L) are explored for stochastic implementation. Stochastic simulations for small area devices using the poly H/H2 RD model show long term 1/6 power law time exponent during stress. A comprehensive framework consisting of H/H2 RD model for NIT along with empirical models for hole trapping (NHT) and bulk trap generation (NOT) is able to predict experimental data for a wide variety of large area devices for different experimental conditions. Variation of small area device degradation has been simulated and compared to experimental results.
Keywords :
MOSFET; negative bias temperature instability; NBTI related interface trap generation; bulk trap generation; hole trapping; negative bias temperature instability; p-MOSFET; power law time exponent; reaction diffusion model; small area device degradation; stochastic implementation; stochastic simulation; DH-HEMTs; Data models; Mathematical model; Predictive models; Silicon; Stochastic processes; Stress; NBTI; RD model; hole trapping; interface trap generation; small area device; stochastic modeling; variable reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability Physics Symposium (IRPS), 2013 IEEE International
Conference_Location :
Anaheim, CA
ISSN :
1541-7026
Print_ISBN :
978-1-4799-0112-8
Electronic_ISBN :
1541-7026
Type :
conf
DOI :
10.1109/IRPS.2013.6532120
Filename :
6532120
Link To Document :
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