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Record W1551488558 · doi:10.1002/ppap.201500050

Toward a Better Understanding of the Influence of the Hydrocarbon Precursor on the Mechanical Properties of a‐C:H Coatings Synthesized by a Hybrid PECVD/PVD Method

2015· article· en· W1551488558 on OpenAlexaff
Damien Thiry, Aurore De Vreese, Fabian Renaux, Julien L. Colaux, Stéphane Lucas, Yannick Guinet, Laurent Paccou, Étienne Bousser, Rony Snyders

Bibliographic record

VenuePlasma Processes and Polymers · 2015
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsPlasma-enhanced chemical vapor depositionMaterials scienceHydrogenBranching (polymer chemistry)HydrocarbonChemical engineeringThin filmPolymer chemistryComposite materialNanotechnologyOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

In this work, we provide new insight on the influence of the precursor (CH4 vs. C2H2) on the mechanical properties of a‐C:H coatings synthesized in a hybrid PECVD/PVD process. For a given set of plasma parameters, the films synthesized in CH4/Ar gas mixture are found harder than the ones prepared in C2H2/Ar atmosphere despite their lower sp3 density and similar hydrogen content. This unusual behavior is attributed to different molecular organization of the polymeric network constituting the films. The latter is explained considering the influence of the chemical nature of the film‐forming species on the cross‐linking and branching degree of the films. The whole set of our results unambiguously demonstrates that additional factors than the sp3 and hydrogen content have to be considered for explaining the mechanical properties of a‐C:H layers.

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 score0.004

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 integrity0.0000.001
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 head0.051
GPT teacher head0.259
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

Citations27
Published2015
Admission routes1
Has abstractyes

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