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Record W2092836171 · doi:10.3131/jvsj.50.659

Formation of High Quality Silicon Nitride Films using Microwave Excitation Plasma

2007· article· en· W2092836171 on OpenAlexaff
Akinobu Teramoto, Takashi Aratani, Masaaki Higuchi, Eiji Ikenaga, Masaki Hirayama, Shigetoshi Sugawa, Takeo Hattori, Tadahiro Ohmi

Bibliographic record

VenueShinku · 2007
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsMaterials scienceWaferSilicon nitrideOptoelectronicsSiliconMicrowavePlasmaSilicon on insulatorMISFETElectrical engineeringField-effect transistorTransistor

Abstract

fetched live from OpenAlex

The electric characteristics Si3N4 films the interface characteristics of Si3N4/Si formed by newly developed microwave-excited high-density plasma are described. The leakage current through the Si3N4 films reduces 3 orders of magnitude and the lifetime improves 30,000 times compared to the conventional SiO2 films formed by a thermal oxidation. The MISFET on Si(100) surface with gate insulator of Si3N4 films have more excellent performance compared to that with conventional SiO2 films. The crystal orientation of silicon wafer surface is affected to the subnitride at Si3N4/Si interface. The subnitride at Si3N4/Si decreases with an increase in Si atom density in the silicon wafer surface, as a result, the quantity of subnitride is lowest in Si(110) surface than any other surfaces. The valence band offset at Si3N4/Si interface is independent of a silicon wafer surface. Si3N4 films formed by the microwave excited plasma is essential to high performance and low leakage LSI devices.

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 score0.009
Threshold uncertainty score0.328

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 head0.035
GPT teacher head0.274
Teacher spread0.239 · 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
Published2007
Admission routes1
Has abstractyes

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