Surface activated bonding of 8 in. Si wafers for MEMS and microfluidic packaging
Bibliographic record
Abstract
The challenges for direct wafer bonding using surface activated bonding (SAB) method have been investigated. For this purpose, 4-8 in silicon wafers with and without fine patterns were bonded in vacuum. Three challenges are identified through comprehensive investigations of the bonded interfaces using infrared (IR) transmission, tensile pulling, and high-resolution transmission electron microscopy (HRTEM) observation. First is the alignment between the wafers. While the alignment accuracy is about 5 mum before contacting the wafers, it becomes about 17 mum after bonding. Second are the air-gaps across the bonded interface due to processing induced artifacts and particles. Third is the wafer bow, which control the three-dimensional (3D) bonding. Three-bulk Si 8 inch wafers were bonded together for 3D bonding. Thin wafers with small bow are recommended for 3D bonding using the SAB method.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".