2012
DOI: 10.1016/j.microrel.2012.06.025
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TCAD for reliability

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Cited by 8 publications
(3 citation statements)
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“…In this study, V T extraction was followed the constant current methodology. To accelerate the process and circuit development in yield and reliability analysis in the nano-node era, the technology computer-aided design simulator is an appropriate choice as an assistant [23][24][25].…”
Section: Purpose Stress Methods Specificationsmentioning
confidence: 99%
“…In this study, V T extraction was followed the constant current methodology. To accelerate the process and circuit development in yield and reliability analysis in the nano-node era, the technology computer-aided design simulator is an appropriate choice as an assistant [23][24][25].…”
Section: Purpose Stress Methods Specificationsmentioning
confidence: 99%
“…In this paper we have used Technology Computer Aided Design (TCAD) to simulate 1T-NOR Flash Programming window closure after 1 million cycles. TCAD is a physics-based numerical modelling approach for accurately simulating both fabrication process and electrical characteristics of microelectronics devices, a tool that has been successfully used for device performance optimization and reliability improvement [5,6,7]. Similar to [8] Flash endurance was modelled through defects; however, in this paper we have adopted an inhomogeneous defects distribution both at Si/SiO2 interface and in SiO2 bulk oxide, as well as different types of defects.…”
Section: Introductionmentioning
confidence: 99%
“…These very low levels cannot be detected with conventional surface analysis techniques such as Auger electron spectroscopy, X-ray photoelectron spectroscopy, and ultraviolet photoelectron spectroscopy, and are also too low to be detected with usual bulk analysis tools such as secondary ion mass spectrometry, complicating device failure analyses. It is thus necessary to identify contaminant possible effects on fabrication processes, and to be able to simulate contamination redistribution at levels lower than detection limits during device fabrication, in order to potentially identify their influence on device electrical properties [1][2][3].…”
Section: Introductionmentioning
confidence: 99%