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Record W1772037104 · doi:10.1109/plasma.1997.604890

Pulsed-plasma deposition of amorphous diamond-like carbon films on copper

2002· article· en· W1772037104 on OpenAlexaff
Ching‐Wen Chiu, B. Terreault, A. Sarkissian

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsMaterials scienceAnalytical Chemistry (journal)CopperRaman spectroscopyPlasmaCarbon filmDiamondX-ray photoelectron spectroscopyDiamond-like carbonAmorphous carbonAmorphous solidCarbon fibersThin filmChemistryNanotechnologyChemical engineeringMetallurgyCrystallographyComposite materialOptics

Abstract

fetched live from OpenAlex

Summary form only given. Using the new pulsed-plasma source ion implantation (PSII) as an alternate implantation technique for diamond growth by the carbon-implantation-out-diffusion (CIOD) method allows us to investigate the effect of a higher C ion flux, which is suspected to be the main factor leading to diamond formation in copper. Single crystal and polycrystalline copper disk samples were dc-biased at negative voltages ranging from 0-30 V and exposed to a pulsed or dc methane (pure or 1% CH/sub 4/ in H/sub 2/) plasma. The copper substrate temperature is kept at either 800-1000/spl deg/C or at ambient temperature during plasma exposure. The resulting films are examined by Raman spectroscopy, XPS, and SEM. Preliminary results show only growth of graphitic and diamondlike carbon films on copper substrates negatively dc-biased at 0-10 kV and kept at 800-950/spl deg/C during exposure to 1% CH/sub 4//H/sub 2/ dc plasma.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.008
GPT teacher head0.189
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

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

Citations1
Published2002
Admission routes1
Has abstractyes

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