Combined Surface-Activated Bonding (SAB) Technologies for New Approach to Low Temperature Wafer Bonding
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Bibliographic record
Abstract
Wafer surface activation is of great importance for low temperature wafer bonding process development. However, different surface activation methods are needed for various bonding materials due to their different requirements and mechanisms for low temperature bonding. A challenge of the low temperature wafer bonding technology is to develop compatible surface activation processes for hybrid surfaces (e.g., Cu/polymer adhesive and Cu/SiO 2 hybrid surfaces). In this study, we developed surface activation processes for low temperature Cu/dielectric hybrid bonding. We report the results of surface treatment for Cu/adhesive hybrid surface by using Ar plasma and Ar fast atom bombardment, and a combined SAB process for SiO 2 hydrophilic bonding. Post-bonding vacuum annealing is employed to develop void-free hydrophilic SiO 2 wafer bonding.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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