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ECE 695A Lecture 26-2: Statistics of Soft Breakdown (Breakdown Position correlation)
28 Mar 2013 | Online Presentations | Contributor(s): Muhammad Alam
Position and time correlation of BD spot
How to determine the position of the BD Spot
Position correlation in BD spots
Why is localization so weak?
ECE 695A Lecture 26R: Review Questions
ECE 695A Lecture 27: Correlated TDDB in Off-State HCI
29 Mar 2013 | Online Presentations | Contributor(s): Muhammad Alam
ECE 695A Lecture 27R: Review Questions
ECE 695A Lecture 28: Circuit Implications of Dielectric Breakdown
08 Apr 2013 | Online Presentations | Contributor(s): Muhammad Alam
Part 1 - Understanding Post-BD FET behavior
BD position determination
Hard and Soft BD in FETs
Distinguishing leakage and intrinsic FET parameters shifts
Part 2 - Impact of...
ECE 695A Lecture 29: Breakdown of Thick Dielectrics
Spatial and temporal dynamics during breakdown
Breakdown in bulk oxides: puzzle
ECE 695A Lecture 29A: Appendix - Dimension of a Surface
ECE 695A Lecture 29R: 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...
ECE 695A Lecture 2: A Brief History of Reliability and Types of Reliability Models
16 Jan 2013 | Online Presentations | Contributor(s): Muhammad Alam
Reliability as a General Phenomena
A Brief History of Reliability
Approaches to Reliability Physics
ECE 695A Lecture 30: Breakdown in Dielectrics with Defects
Theory of pre-existing defects: Thin oxides
Theory of pre-existing defects: thick oxides
ECE 695A Lecture 30R: Review Questions
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...
ECE 695A Lecture 31: Collecting and Plotting Data
15 Apr 2013 | Online Presentations | Contributor(s): Muhammad Alam
Origin of data, Field Acceleration vs. Statistical Inference
Preparing data for projection: Hazen formula
Preparing data for projection: Kaplan...
ECE 695A Lecture 31A: Appendix - Bootstrap Method Introduction
ECE 695A Lecture 31R: 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...
ECE 695A Lecture 32: Physical vs. Empirical Distribution
17 Apr 2013 | Online Presentations | Contributor(s): Muhammad Alam
Physical Vs. empirical distribution
Properties of classical distribution function
Moment-based fitting of data
ECE 695A Lecture 32R: 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?...
ECE 695A Lecture 33: Model Selection/Goodness of Fit
18 Apr 2013 | Online Presentations | Contributor(s): Muhammad Alam
The problem of matching data with theoretical distribution
Parameter extractions: Moments, linear regression, maximum likelihood
Goodness of fit: Residual, Pearson, Cox,...
ECE 695A Lecture 33R: Review Questions
With higher number of model parameters, you can always get a good fit – why should you minimize the number of parameters
Least square method is a subset of maximum...
ECE 695A Lecture 34: Scaling Theory of Design of Experiments
Buckingham PI Theorem
An Illustrative Example
Recall the scaling theory of HCI, NBTI, and TDDB
ECE 695A Lecture 34A: Appendix - Variability by Bootstrap Method