Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
NARROW
Format
Topics
Subjects
Journal
Book Series
Article Type
Volume Subject Area
Date
Availability
1-7 of 7
Christopher L. Henderson
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Series: ASM Technical Books
Publisher: ASM International
Published: 01 November 2019
DOI: 10.31399/asm.tb.mfadr7.t91110666
EISBN: 978-1-62708-247-1
Abstract
This chapter surveys both basic quality and basic reliability concepts as an introduction to the failure analysis professional. It begins with a section describing the distinction between quality and reliability and moves on to provide an overview of the concept of experiment design along with an example. The chapter then discusses the purposes of reliability engineering and introduces four basic statistical distribution functions useful in reliability engineering, namely normal, lognormal, exponential, and Weibull. It also provides information on three fundamental acceleration models used by reliability engineers: Arrhenius, Eyring, and power law models. The chapter concludes with information on failure rates and mechanisms and the two techniques for uncovering reliability issues, namely burn-in and outlier screening.
Series: ASM Technical Books
Publisher: ASM International
Published: 01 November 2019
DOI: 10.31399/asm.tb.mfadr7.t91110673
EISBN: 978-1-62708-247-1
Abstract
Education and training play an important role if the failure analyst is to be successful in his or her work. This article discusses the history of training activities in the failure/product analysis discipline and describes where this area is heading. It provides information on three areas of education and training that should be given to the analyst for him or her to be successful developing and fielding modern semiconductor components: analysis process, technology, and technique training.
Series: ASM Technical Books
Publisher: ASM International
Published: 01 November 2019
DOI: 10.31399/asm.tb.mfadr7.t91110678
EISBN: 978-1-62708-247-1
Journal Articles
Journal: EDFA Technical Articles
EDFA Technical Articles (2003) 5 (1): 5–9.
Published: 01 February 2003
Abstract
View article
PDF
Analysis of semiconductor components is an increasingly complex task. Today’s analyst is called on to find a needle in a haystack. Every year, the needles get smaller, the haystacks get bigger, and the customer wants them found faster. With this in mind, how should we train analysts to perform this daunting task? There are several major thrusts that our education/training efforts need to take if we are to successfully analyze modern semiconductor components. These thrusts include: process, technology, cross-training, and techniques. This article discusses the history of training activities in the failure/product analysis discipline and describes where this area is heading.
Journal Articles
Journal: EDFA Technical Articles
EDFA Technical Articles (2000) 2 (4): 36–38.
Published: 01 November 2000
Abstract
View article
PDF
Recent advances in spectrometers now give sufficient sensitivity to measure the spectral content of the very weak light emission produced by failing semiconductor devices. This article examines light spectra from the most common defect classes in order to demonstrate the strengths and weakness of spectral analysis in the context of semiconductor failure investigations. The conclusion is that signature analysis may not provide a definitive root cause, but it can help confirm the root cause after further analysis is performed.
Proceedings Papers
Daniel L. Barton, Paiboon Tangyunyong, Jerry M. Soden, Christopher L. Henderson, Edward I. Cole, Jr. ...
ISTFA1999, ISTFA 1999: Conference Proceedings from the 25th International Symposium for Testing and Failure Analysis, 57-67, November 14–18, 1999,
Abstract
View Paper
PDF
The device physics necessary to gain theoretical insight into the relationship between the bias conditions and the associated electric field for semiconductor structures in various failure conditions such as forward and reverse biased junctions, MOSFET saturation, latchup, and gate oxide breakdown are examined. The relationships are verified by light emission spectra collected from test samples under various bias conditions. Several examples are included that demonstrate the utility and limitations of spectral analysis techniques for defect identification and the associated, non-electric field related information contained in the spectra.
Proceedings Papers
ISTFA1999, ISTFA 1999: Conference Proceedings from the 25th International Symposium for Testing and Failure Analysis, 405-412, November 14–18, 1999,
Abstract
View Paper
PDF
During the development and qualification of a radiation-hardened, 0.5 μm shallow trench isolation technology, several yield-limiting defects were observed. The 256K (32K x 8) static-random access memories (SRAMs) used as a technology characterization vehicle had elevated power supply current during wafer probe testing. Many of the die sites were functional, but exhibited quiescent power supply current (I DDQ ) in excess of 100 μA, the present limit for this particular SRAM. Initial electrical analysis indicated that many of the die sites exhibited unstable I DDQ that fluctuated rapidly. We refer to this condition as “jitter.” The I DDQ jitter appeared to be independent of temperature and predominately associated with the larger 256K SRAMs and not as prevalent in the 16K SRAMs (on the same reticle set). The root cause of failure was found to be two major processing problems: salicide bridging and stress-induced dislocations in the silicon island.