Tags: reliability

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  1. Robust Computing Systems: From Today to the N3XT 1,000×

    08 May 2019 | | Contributor(s):: Subhasish Mitra

    This talk presents an overview of my group’s research in the above areas, and particularly emphasizes complexity and performance.

  2. Suns-Vmp Method

    04 Jun 2018 | | Contributor(s):: Xingshu Sun, Raghu Vamsi Krishna Chavali, Muhammad Ashraful Alam

    This package contains the Matlab scripts to perform the Suns-Vmp method. The code has been tested in Matlab R2016a.

  3. Too hot to handle? The emerging challenge of reliability/variability in self-heated FintFET, ETSOI, and GAA-FET

    11 Jan 2016 | | Contributor(s):: Muhammad A. Alam, Sang Hoon Shin, Muhammad Abdul Wahab, Jiangjiang Gu, Jingyun Zhang, Peide "Peter" Ye

    This presentation is part of the 8th IEEE/ACM Workshop on Variability Modeling and Characterization (VMC) 2015. It is difficult to control the geometry, doping, and thicknesses of small transistors. Moreover, nanoscale transistors degrade due to NBTI and HCI at vastly different...

  4. Failures in Photovoltaic Modules

    21 Apr 2015 | | Contributor(s):: Peter Bermel

    In this talk, I will discuss some of the major sources of performance degradation for common glass-encapsulated PV modules, including crystalline silicon and thin films. The greatest reliability challenges have occurred in the latter, with recent studies showing that thin-film modules operating...

  5. Long term Aging of Autonomous STructures (LAAST) Seminar Series

    07 Apr 2015 | | Contributor(s):: Ali Shakouri

    The Long term Aging of Autonomous STructures (LAAST) seminar series focuses on reliability and aging of devices for energy conversion, information processing or sensing.

  6. A Blind Fish in a River with a Waterfall

    23 Mar 2010 | | Contributor(s):: Muhammad Alam, Sajia Sadeque

    Prototype for a reliability problem defined as Stochastic Process with a Threshold

  7. Ali Aldubaisi


  8. Linfeng He


  9. ECE 695A Lecture 37: Radiation Induced Damage – An overview

    19 Apr 2013 | | Contributor(s):: Muhammad Alam

    Outline:Introduction and short history of radiation damageRadiation damage in various types of componentsSources of radiationA basic calculation and simulation approachesConclusions

  10. ECE 695A Lecture 37R: Review Questions

    19 Apr 2013 | | Contributor(s):: Muhammad Alam

    Review Questions:Why is SOI more radiation hard compared to bulk devices? What do you feel about radiation hardness of FINFET?What type of radiation issues could arise for thin-body devices like FINFET?What is error correction code? Why does it correct for MBU?What is the difference between SEE...

  11. ECE 695A Lecture 34: Scaling Theory of Design of Experiments

    18 Apr 2013 | | Contributor(s):: Muhammad Alam

    Outline:IntroductionBuckingham PI TheoremAn Illustrative ExampleRecall the scaling theory of HCI, NBTI, and TDDBConclusions

  12. ECE 695A Lecture 34A: Appendix - Variability by Bootstrap Method

    18 Apr 2013 | | Contributor(s):: Muhammad Alam

  13. ECE 695A Lecture 33: Model Selection/Goodness of Fit

    18 Apr 2013 | | Contributor(s):: Muhammad Alam

    Outline:The problem of matching data with theoretical distributionParameter extractions: Moments, linear regression, maximum likelihoodGoodness of fit: Residual, Pearson, Cox, AkikaConclusion

  14. ECE 695A Lecture 33R: Review Questions

    18 Apr 2013 | | Contributor(s):: Muhammad Alam

    Review Questions:With higher number of model parameters, you can always get a good fit – why should you minimize the number of parametersLeast square method is a subset of maximum likelihood approach to data fitting. Is this statement correct?What aspect of the distribution function does...

  15. ECE 695A Lecture 32R: Review Questions

    15 Apr 2013 | | Contributor(s):: Muhammad Alam

    Review Questions:Why do people use Normal, log-normal, Weibull distributions when they do not know the exact physical distribution?What is the problem of using empirical distributions? What are the advantages?If you must choose an empirical distribution, what should be your criteria? (Nos. of...

  16. ECE 695A Lecture 32: Physical vs. Empirical Distribution

    15 Apr 2013 | | Contributor(s):: Muhammad Alam

    Outline:Physical Vs. empirical distributionProperties of classical distribution functionMoment-based fitting of dataConclusions

  17. ECE 695A Lecture 31R: Review Questions

    15 Apr 2013 | | Contributor(s):: Muhammad Alam

    Review Questions:What is the difference between parametric estimation vs. non-parametric estimation?What principle did Tacho Brahe’s approach assume?What is the difference between population and sample? When we collect data for TDDB or NBTI, what type of data are we collecting?What problem does...

  18. ECE 695A Lecture 31: Collecting and Plotting Data

    15 Apr 2013 | | Contributor(s):: Muhammad Alam

    Outline:Origin of data, Field Acceleration vs. Statistical InferenceNonparametric informationPreparing data for projection: Hazen formula Preparing data for projection: Kaplan formulaConclusion

  19. ECE 695A Lecture 31A: Appendix - Bootstrap Method Introduction

    15 Apr 2013 | | Contributor(s):: Muhammad Alam

  20. ECE 695A Lecture 30R: Review Questions

    08 Apr 2013 | | Contributor(s):: Muhammad Alam

    Outline:What is the difference between extrinsic vs. intrinsic breakdown?Does gas dielectric have extrinsic breakdown? Why or why not?What does ESD damage and the plasma damage to thin oxides?Can you explain the physical meaning of infant mortality ? How does it relate to yield of semiconductor...