2013
DOI: 10.1063/1.4799484
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Grain structure analysis and effect on electromigration reliability in nanoscale Cu interconnects

Abstract: Articles you may be interested in Grain structure analysis and effect on electromigration reliability in nanoscale Cu interconnects Appl. Simulation of the effects of grain structure and grain growth on electromigration and the reliability of interconnects Abstract. This paper combined experiments and simulation to investigate the grain size and cap layer effects on electromigration (EM) reliability of Cu interconnects. First the statistical distribution of EM lifetime and failure modes were examined for in la… Show more

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Cited by 38 publications
(22 citation statements)
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References 16 publications
(24 reference statements)
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“…A bamboo polycrystalline structure is observed in metal lines with a lognormal grain size distribution (Cao et al 2014;Rizzolo 2014;Meyer et al 2005. A typical observance that grains are smaller at the bottom and larger at the top of the trench as been made from experiments (Cao et al 2013;Karmarkar et al 2012;B. Li et al 2014).…”
Section: Test Structuresmentioning
confidence: 98%
See 2 more Smart Citations
“…A bamboo polycrystalline structure is observed in metal lines with a lognormal grain size distribution (Cao et al 2014;Rizzolo 2014;Meyer et al 2005. A typical observance that grains are smaller at the bottom and larger at the top of the trench as been made from experiments (Cao et al 2013;Karmarkar et al 2012;B. Li et al 2014).…”
Section: Test Structuresmentioning
confidence: 98%
“…A clear dependance between the copper microstructure in nanoscale interconnects, void formation kinetics, and electromigration statistics has been established through experiments (Cao et al 2013). A significant difference in the electromigration failure lifetime as a function of grain size was observed, large grain structures had 14x higher lifetime compared to small grain structure.…”
Section: Introductionmentioning
confidence: 93%
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“…This research group has extensively used this D-STEM technique, applying it to a wide range of nanostructured materials, like downscaling nanoscale Cu interconnects used in the semiconductor industry, where this technique, in combination with precession microscopy, was determinant in the acquisition of quantitative local texture information in damascene copper interconnects (1.8 μm-45 nm in width) with a spatial resolution of less than 5 nm. Their results revealed strong variations in texture and grain boundary distribution of the copper lines upon downscaling, observations that have been very useful for the semiconductor industry [10][11][12]. This D-STEM technique has also been used by this research group to study lithium-rich layered oxide materials used as cathode materials in Li-ion batteries [13,14].…”
Section: Introductionmentioning
confidence: 89%
“…Clearly, the grain structure, surface orientation, wire crystallinity, and possible containment strongly influence the material transport. [12][13][14][15][16][17][18][19][20][21][22][23] This leads to the question: How reversible is the EM driven mass transport, especially if one considers the microstructure?…”
mentioning
confidence: 99%