DocumentCode
1451358
Title
Breaking with tradition in mathematical metal reliability modeling
Author
Borucki, Len
Author_Institution
Predictive Eng. Lab., Motorola Inc., Mesa, AZ, USA
Volume
4
Issue
3
fYear
1997
Firstpage
10
Lastpage
12
Abstract
One of the limiting factors in designing advanced microelectronics is the size and complexity of the wiring used to connect electronic components on a chip. Although transistors can be scaled to smaller sizes with well-understood rules, metallization cannot. Typically, scaling raises the current density as the lines themselves are made thinner. This increases the chance of circuit failure due to electromigration. Another kind of failure that occurs is stress voiding, in which the stresses due to thermal-expansion mismatches of nearby materials and the electromigration of atoms actually break a line. The Motorola Predictive Engineering Laboratory has been developing a computer model for stress and electromigration that includes considerably more physics than the routinely-used statistical models. If we can project metal lifetimes more accurately, we could generate better design rules and thus produce less expensive products that are less limited in area or performance by metallization. We are working directly with engineers who formulate and qualify our metallization processes and extract rules for product designers company-wide. The goal is to affect PowerPC and SmartPower designs
Keywords
circuit analysis computing; digital simulation; electromigration; integrated circuit design; integrated circuit metallisation; integrated circuit modelling; integrated circuit reliability; metals; reliability theory; thermal stresses; wire-wrap connections; Motorola Predictive Engineering Laboratory; PowerPC; SmartPower; advanced microelectronics design; circuit failure; computer model; current density; design rules; electromigration; mathematical metal reliability modeling; metal lifetimes; metallization; performance; scaling; stress voiding; thermal-expansion mismatches; wiring; Current density; Electromigration; Electronic components; Mathematical model; Metallization; Microelectronics; Predictive models; Thermal stresses; Transistors; Wiring;
fLanguage
English
Journal_Title
Computational Science & Engineering, IEEE
Publisher
ieee
ISSN
1070-9924
Type
jour
DOI
10.1109/99.615425
Filename
615425
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