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Record W2514960441 · doi:10.1149/07509.0117ecst

Combined Surface Activated Bonding Technique for Hydrophilic SiO<sub>2</sub>-SiO<sub>2</sub> and Cu-Cu Bonding

2016· article· en· W2514960441 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2016
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsAnodic bondingAnnealing (glass)Materials scienceDirect bondingWafer bondingVoid (composites)WaferBonding strengthScanning electron microscopeTransmission electron microscopyComposite materialAnalytical Chemistry (journal)NanotechnologyChemistry

Abstract

fetched live from OpenAlex

Wafer bonding with high quality (such as high strength, void-less interface, and low-resistance vertical electrical interconnects) obtained at low temperatures is highly desired for 3D integration of microsystems. This paper reports a combined surface activated bonding (SAB) technique for improvement of the bonding quality of SiO 2 -SiO 2 pairs bonded at 200°C. The present bonding technique employs a combination of surface irradiation using a Si-containing Ar beam and prebonding attach-detach procedure prior to bonding in vacuum, followed by postbonding annealing in ambient pressure. The bonding method has also been found effective for SiO 2 -SiN x and Cu-Cu bonding at 200°C. Results of bonding strength measurements, transmission electron microscopy (TEM) and energy-dispersive X-ray spectroscopy (EDS) observations are reported and discussed to understand the present technique. The feasibility of this bonding technique for Cu/SiO 2 and Cu/SiO 2 /SiN x hybrid bonding is also discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.209
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it