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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Forbes, K.R. Schani, P. |
| Copyright Year | 2004 |
| Description | Author affiliation: Motorola Semicond. Product Sector, Austin, TX, USA (Forbes, K.R.; Schani, P.) |
| Abstract | A model is presented to optimize burn-in time based on product yield. A relationship between yield and reliability is developed and demonstrated with tests on a 130nm SRAM test device. Voltage and thermal acceleration are added to this model to appropriately scale predictions to product use conditions. High-voltage test screening is found to have a similar effect as burn-in in reducing infant mortality and thus can also be incorporated into this model. A conditional reliability model is needed to model the effects of both burn-in and high-voltage screening; these effects cannot be modeled as if they simply reduce the defectivity of the population. This approach can be used to predict the amount of high-voltage test screening and burn-in needed in order to qualify a production device built with the same technology. |
| Starting Page | 165 |
| Ending Page | 170 |
| File Size | 403674 |
| Page Count | 6 |
| File Format | |
| ISBN | 078038315X |
| DOI | 10.1109/RELPHY.2004.1315318 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-04-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Random access memory Production Testing Voltage Acceleration Semiconductor device manufacture Predictive models Semiconductor device modeling CMOS technology Costs |
| Content Type | Text |
| Resource Type | Article |
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