Tags: reliability

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  1. ECE 695A Lecture 26-2: Statistics of Soft Breakdown (Breakdown Position correlation)

    28 Mar 2013 | | Contributor(s):: Muhammad Alam

    Outline:Position and time correlation of BD spotHow to determine the position of the BD SpotPosition correlation in BD spotsWhy is localization so weak?Conclusions

  2. ECE 695A Lecture 26R: Review Questions

    28 Mar 2013 | | Contributor(s):: Muhammad Alam

  3. ECE 695A Lecture 27: Correlated TDDB in Off-State HCI

    29 Mar 2013 | | Contributor(s):: Muhammad Alam

  4. ECE 695A Lecture 27R: Review Questions

    29 Mar 2013 | | Contributor(s):: Muhammad Alam

  5. ECE 695A Lecture 28: Circuit Implications of Dielectric Breakdown

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

    Outline:Part 1 - Understanding Post-BD FET behaviorBD position determinationHard and Soft BD in FETsDistinguishing leakage and intrinsic FET parameters shiftsPart 2 - Impact of breakdown on digital circuit operationBD in ring oscillatorBDinSR AMcellTiming, BD into soft node

  6. ECE 695A Lecture 29: Breakdown of Thick Dielectrics

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

    Outline:IntroductionSpatial and temporal dynamics during breakdownBreakdown in bulk oxides: puzzleConclusions 

  7. ECE 695A Lecture 29A: Appendix - Dimension of a Surface

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

  8. ECE 695A Lecture 29R: Review Questions

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

    Review Questions:Mention a few differences between thick and thin oxide breakdown.Is breakdown in thick oxides contact dominated? Can I use AHI theory here?How does the Paschen’s cascade initiate?What does it mean to have a fractal dimension of 1.7 for 2D breakdown? Why does the number suggest...

  9. ECE 695A Lecture 2: A Brief History of Reliability and Types of Reliability Models

    16 Jan 2013 | | Contributor(s):: Muhammad Alam

    Outline:Reliability as a General PhenomenaA Brief History of ReliabilityApproaches to Reliability PhysicsConclusions

  10. ECE 695A Lecture 30: Breakdown in Dielectrics with Defects

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

    Outline:IntroductionTheory of pre-existing defects: Thin oxidesTheory of pre-existing defects: thick oxidesConclusions

  11. 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...

  12. 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

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

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

  14. 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...

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

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

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

  16. ECE 695A Lecture 32R: Review Questions

    17 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...

  17. 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

  18. 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...

  19. 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

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

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