dc.contributor.author |
Loupis, M |
en |
dc.contributor.author |
Avaritsiotis, J |
en |
dc.date.accessioned |
2014-03-01T02:47:59Z |
|
dc.date.available |
2014-03-01T02:47:59Z |
|
dc.date.issued |
1991 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33481 |
|
dc.subject |
Ambient Temperature |
en |
dc.subject |
Data Model |
en |
dc.subject |
Electromigration |
en |
dc.subject |
Extreme Value Distribution |
en |
dc.subject |
Lognormal Distribution |
en |
dc.subject |
Probability Distribution |
en |
dc.title |
Probability distribution modelling of electromigration induced failure times |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/MELCON.1991.161826 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/MELCON.1991.161826 |
en |
heal.publicationDate |
1991 |
en |
heal.abstract |
It has been shown that life data from electromigration tests on TiW+Al/Cu bilayer interconnects, under four different ambient temperatures are better fitted to a log extreme value distribution than to a Weibull or a lognormal one. The combination of the authors' results with simulated life data modeling done by J.M. Schoen (1980) indicates the same trend. It is believed that |
en |
heal.journalName |
MELECON - IEEE Mediterranean Electrotechnical Conference |
en |
dc.identifier.doi |
10.1109/MELCON.1991.161826 |
en |