Combined Surface Activated Bonding Technique for Hydrophilic SiO<sub>2</sub>-SiO<sub>2</sub> and Cu-Cu Bonding
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Bibliographic record
Abstract
As an evolution of the Cu-Cu bonding and SiO 2 -SiO 2 bonding, Cu/SiO 2 hybrid bonding is a promising approach to the emerging three-dimensional (3D) integration of microelectronic/photonic systems, since it obtains both direct metal interconnection and enhanced thermal/mechanical stability with a seamless bonding structure during the single bonding process. 1,2 However, because of the different features of Cu-Cu and SiO 2 -SiO 2 bonding, Cu/SiO 2 hybrid bonding at low temperatures of no more than 200 °C remains challenging. For instance, the Cu-Cu thermo-compression bonding is typically conducted in vacuum or dry protecting/reducing atmospheres after removal of surface oxides, 3–7 while the SiO 2 -SiO 2 bonding needs a humid environment to facilitate termination of Si-OH bonding sites. 8–12 It is highly desired to develop a new bonding process that is effective for both Cu-Cu and SiO 2 -SiO 2 bonding in H 2 O-free ambient, such as vacuum, for improvement of the Cu/SiO 2 hybrid bonding. Recently, we proposed a combined surface-activated bonding (SAB) method, which involves a combination of surface bombardment using a Si-containing Ar beam and prebonding attach-detach procedure prior to bonding in vacuum. High SiO 2 -SiO 2 bonding strength of close to the Si bulk fracture strength has been realized at 200 °C. In this paper, we report our recent results of Cu-Cu and SiO 2 -SiO 2 bonding by using the combined SAB method. The mechanism is discussed to understand the present low-temperature bonding technique. References 1. L. D. Cioccio et al., J. Electrochem. Soc. , 158 , P81–P86 (2011). 2. H. Moriceau et al., Microelectron. Reliab. , 52 , 331–341 (2012). 3. W. Yang, M. Akaike, M. Fujino, and T. Suga, ECS J. Solid State Sci. Technol. , 2 , P271–P274 (2013). 4. W. Yang, M. Akaike, and T. Suga, IEEE Trans. Compon. Packag. Manuf. Technol. , 4 , 951–956 (2014). 5. B. Rebhan and K. Hingerl, J. Appl. Phys. , 118 , 135301 (2015). 6. T. H. Kim, M. M. R. Howlader, T. Itoh, and T. Suga, J. Vac. Sci. Technol. A , 21 , 449–453 (2003). 7. A. Shigetou, T. Itoh, K. Sawada, and T. Suga, IEEE Trans. Adv. Packag. , 31 , 473–478 (2008). 8. Q.-Y. Tong and U. M. Gösele, Adv. Mater. , 11 , 1409–1425 (1999). 9. T. Suni, K. Henttinen, I. Suni, and J. Mäkinen, J. Electrochem. Soc. , 149 , G348–G351 (2002). 10. F. Fournel et al., ECS J. Solid State Sci. Technol. , 4 , P124–P130 (2015). 11. H. Takagi, J. Utsumi, M. Takahashi, and R. Maeda, ECS Trans. , 16 , 531–537 (2008). 12. R. He, M. Fujino, A. Yamauchi, and T. Suga, Jpn. J. Appl. Phys. , 54 , 030218 (2015).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it