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Electromigration reliability issues in dual-damascene Cu interconnections
271
Citations
144
References
2002
Year
Materials ScienceMaterials EngineeringElectrical EngineeringElectromigration StudiesEngineeringElectromigration Reliability IssuesAdvanced Packaging (Semiconductors)Electromigration TechniqueNanoelectronicsHardware ReliabilityApplied PhysicsEm ReliabilityElectronic PackagingDevice ReliabilityMicroelectronicsExperimental MethodologyInterconnect (Integrated Circuits)Electrical Insulation
Electromigration studies on Cu interconnects are reviewed. Some history and more recent results are discussed along with a description of the present interpretations of the active mass transport mechanisms involved in Cu electromigration. The issue of the dual-damascene process and its potential effect on EM reliability is described with special focus on the peculiarities of the dual-damascene interconnect architecture compared to more conventional subtractively etched Al-based interconnects. Experiments performed on dual-damascene interconnects that highlight electromigration reliability issues such as early failure, a tentative explanation for via electromigration failure, and the Blech effect, are summarized. Emphasis is placed on an experimental methodology that uses large interconnect ensembles in a multi-link configuration. Such a large scale study of nearly 10000 interconnects has shown statistical evidence of bimodal failure behavior consistent with the presence of a weak and strong failure mode, which have been identified as voiding, respectively, within the via and the trench at the cathode end of an interconnect. A multi-link approach has also demonstrated a length-dependent distribution of failures that yields a (j/spl middot/L)/sub c/ product value of about 9000 A/cm in dual-damascene Cu/oxide interconnections and is consistent with mass transport that is controlled by the presence of extended defects within Cu such as grain boundaries, interfaces, and/or surfaces. The study of dual-damascene Cu has demonstrated the importance of statistics in analyzing EM reliability.
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