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Record W2152526685 · doi:10.1051/epjap/2009079

Deposition of functional hydrogenated amorphous carbon-nitride film (a-CN:H) using C<sub>2</sub>H<sub>4</sub>/N<sub>2</sub>townsend dielectric barrier discharge

2009· article· en· W2152526685 on OpenAlexaff
Christian Sarra‐Bournet, Nicolas Ghérardi, Stéphane Turgeon, Gaétan Laroche, F. Massines

Bibliographic record

VenueThe European Physical Journal Applied Physics · 2009
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversité LavalHôpital Saint-François d'Assise
Fundersnot available
KeywordsX-ray photoelectron spectroscopyAmorphous solidMaterials scienceAnalytical Chemistry (journal)Carbon nitrideAmorphous carbonFourier transform infrared spectroscopyChemical vapor depositionDeposition (geology)NitrideCarbon fibersScanning electron microscopeDielectricChemical engineeringChemistryNanotechnologyCrystallographyLayer (electronics)Composite materialOrganic chemistryOptoelectronics

Abstract

fetched live from OpenAlex

The present work is an investigation of the chemical composition and growth profile of an hydrogenated amorphous carbon nitride film (a-CN:H) deposited by atmospheric pressure Townsend discharge in C2H4/N2. Various surface characterization techniques were used to evaluate the coatings properties (X-ray Photoelectron Spectroscopy, Fourier Transform Infrared Spectroscopy, Profilometry, Scanning Electron Microscopy). The coating obtained presented a high N/C ratio and a high concentration of N-functionalities. The results revealed two different growth mechanisms depending on the residence time of the precursor molecules; at first, the growth is mainly due to radicals then a powder formation mechanism appears, therefore leading to different chemical composition and surface properties.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2009
Admission routes1
Has abstractyes

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