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Record W3169241624 · doi:10.1149/2162-8777/ac0b8f

In Situ Doped Polysilicon (ISDP) Hydrophilic Direct Wafer Bonding for MEMS Applications

2021· article· en· W3169241624 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 Journal of Solid State Science and Technology · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Surface Polishing Techniques
Canadian institutionsDalsa CorporationInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials sciencePolishingMicroelectromechanical systemsAnnealing (glass)WaferSurface roughnessMonocrystalline siliconVoid (composites)CrystalliteComposite materialSurface finishWafer bondingDopingOptoelectronicsMetallurgySilicon

Abstract

fetched live from OpenAlex

In this paper, Chemical Mechanical Polishing is used to reduce RMS roughness of as-deposited ISDP from 3.2 nm down to 0.18 nm. This surface preparation allows ISDP thin films to be direct bonded to polycrystalline and monocrystalline Si, as well as thermal SiO 2 . Mechanically strong bondings are obtained showing surface energies higher than the Si fracture energy of 2250 mJ.m −2 and adherence energy up to more than 6000 mJ.m −2 after annealing at 1100 °C. Infrared images and Scanning Acoustic Microscopy confirm that ISDP can be used to fabricate void-free assemblies after annealing. The hermeticity analysis of cavities sealed by ISDP direct bonding showed maximum leak rate lower than 10 −11 Pa.m 3 s −1 after 18 weeks.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.059
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.280
Teacher spread0.271 · 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