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Record W2222551204 · doi:10.7567/jjap.55.02bc12

H<sub>2</sub>O beams for zinc oxide film growth produced by a Pt-catalyzed H<sub>2</sub>–O<sub>2</sub> reaction at various divergent aperture angles of a de Laval nozzle

2016· article· en· W2222551204 on OpenAlexaboutno aff
Yusuke Teraguchi, Yuki Ishidzuka, Nakamura Tomoki, Takahashi Kazumasa, Yasuhiro Tamayama, Nobuhiro Harada, Kanji Yasui

Bibliographic record

VenueJapanese Journal of Applied Physics · 2016
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsnot available
Fundersnot available
KeywordsZincNozzleBeam (structure)Chemical vapor depositionCatalysisCluster (spacecraft)Materials scienceAperture (computer memory)ChemistryScalingAnalytical Chemistry (journal)OpticsGeometryPhysicsNanotechnologyThermodynamicsMetallurgy

Abstract

fetched live from OpenAlex

Abstract High-energy H 2 O beams generated by a de Laval nozzle, meant for the growth of zinc oxide thin films through chemical vapor deposition, were assessed based on compressible flow theory at various divergent aperture angles. In this process, high temperature H 2 O was generated by a catalytic reaction between H 2 and O 2 on Pt nanoparticles and effused through the nozzle into the reaction zone. The theoretical beam temperature distributions, reduced scaling parameters and mean cluster sizes of the H 2 O beams generated at angles between 50 and 90° were evaluated. The reduced scaling parameters of the H 2 O beams for all angles were calculated to be less than 200 and the mean cluster sizes were estimated to be less than one irrespective of the divergent aperture angle of the nozzle, suggesting that clusters are not formed in the H 2 O beam in our apparatus. The crystallinity and electrical properties of the zinc oxide films grown using various divergent aperture angles were also evaluated.

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)0.001
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.207
Teacher spread0.197 · 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.

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
Published2016
Admission routes1
Has abstractyes

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