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Record W2039287106 · doi:10.1143/jjap.42.4924

Effect of Silicon Nitride Cap on the Activation of Implanted Silicon in Gallium Arsenide

2003· article· en· W2039287106 on OpenAlexfundno aff
Yoshihiro Saito, Tomohiro Kagiyama, Shigeru Nakajima

Bibliographic record

VenueJapanese Journal of Applied Physics · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor materials and interfaces
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceGallium arsenidePlasma-enhanced chemical vapor depositionSilicon nitrideAnnealing (glass)SiliconChemical vapor depositionNitrideAnalytical Chemistry (journal)DiffusionOptoelectronicsLayer (electronics)ChemistryComposite material

Abstract

fetched live from OpenAlex

The effect of silicon nitride (SiNx) anneal cap on the activation efficiency (η) of the implanted Si in gallium arsenide (GaAs) was investigated. SiNx films of various N/Si ratios were prepared, changing the NH3/SiH4 source gas ratio in plasma enhanced chemical vapor deposition (PECVD). As a result, η of the n-layer was found to become the maximum when the SiNx had a slightly N-rich composition. Device simulation clarified that the maximum η, which was obtained with an annealing temperature of 805°C, was 75%. Stress measurements at high temperatures demonstrated that the compressive stress increment at 805°C hardly improved η. On the other hand, the amount of the Ga out-diffusion measured by the total reflection X-ray fluorescence (TXRF) was found to correspond to the trend of η. In the activation with the SiNx caps in this study, the Ga out-diffusion was more dominant than the stress.

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.

How this classification was reachedexpand

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 score0.007
Threshold uncertainty score0.369

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 head0.011
GPT teacher head0.244
Teacher spread0.233 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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