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Record W2042079275 · doi:10.1063/1.4807905

Fast atom beam-activated n-Si/n-GaAs wafer bonding with high interfacial transparency and electrical conductivity

2013· article· en· W2042079275 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

VenueJournal of Applied Physics · 2013
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceArgonAnnealing (glass)WaferAtom (system on chip)Wafer bondingElectrical resistivity and conductivityHeliumAtomic physicsOptoelectronicsComposite material

Abstract

fetched live from OpenAlex

Optically transparent, electrically conductive n-Si/n-GaAs direct wafer bonds are achieved by a thorough optimization of surface conditioning using fast atom beams. Bonding at room temperature under high-vacuum conditions is systematically investigated after in situ surface deoxidization using either argon or helium fast atom beams. Using argon, high bond energies of up to 900 mJ/m2 are obtained and further enhanced to achieve bulk strength through rapid annealing at 290 °C, thereby enabling the production of thermally stable and mechanically robust hybrid substrates. Moreover, the interface conductivity is significantly improved by an additional thermal annealing at 400 °C. Although it is anticipated to induce higher quality interfaces, helium treatment yields, however, limited and unstable bonding. This difference is attributed to an important surface nano-texturing that occurs during fast atom beam processing, a phenomenon that is peculiar to helium and absent in argon treatment.

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 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 score0.040
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.192
Teacher spread0.182 · 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