Literature DB >> 27383767

Vertically aligned CNT-Cu nano-composite material for stacked through-silicon-via interconnects.

Shuangxi Sun1, Wei Mu, Michael Edwards, Davide Mencarelli, Luca Pierantoni, Yifeng Fu, Kjell Jeppson, Johan Liu.   

Abstract

For future miniaturization of electronic systems using 3D chip stacking, new fine-pitch materials for through-silicon-via (TSV) applications are likely required. In this paper, we propose a novel carbon nanotube (CNT)/copper nanocomposite material consisting of high aspect ratio, vertically aligned CNT bundles coated with copper. These bundles, consisting of hundreds of tiny CNTs, were uniformly coated by copper through electroplating, and aspect ratios as high as 300:1 were obtained. The resistivity of this nanomaterial was found to be as low as ∼10(-8) Ω m, which is of the same order of magnitude as the resistivity of copper, and its temperature coefficient was found to be only half of that of pure copper. The main advantage of the composite TSV nanomaterial is that its coefficient of thermal expansion (CTE) is similar to that of silicon, a key reliability factor. A finite element model was set up to demonstrate the reliability of this composite material and thermal cycle simulations predicted very promising results. In conclusion, this composite nanomaterial appears to be a very promising material for future 3D TSV applications offering both a low resistivity and a low CTE similar to that of silicon.

Entities:  

Year:  2016        PMID: 27383767     DOI: 10.1088/0957-4484/27/33/335705

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  2 in total

1.  Electrical performance of lightweight CNT-Cu composite wires impacted by surface and internal Cu spatial distribution.

Authors:  Rajyashree Sundaram; Takeo Yamada; Kenji Hata; Atsuko Sekiguchi
Journal:  Sci Rep       Date:  2017-08-24       Impact factor: 4.379

Review 2.  Recent Progress and Challenges Regarding Carbon Nanotube On-Chip Interconnects.

Authors:  Baohui Xu; Rongmei Chen; Jiuren Zhou; Jie Liang
Journal:  Micromachines (Basel)       Date:  2022-07-20       Impact factor: 3.523

  2 in total

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