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Record W1541400146 · doi:10.1002/pssa.201431235

Properties of diamond‐like carbon nano‐coating deposited with RF PECVD method on UV‐induced long‐period fibre gratings

2014· article· en· W1541400146 on OpenAlexaff
Krzysztof Krogulski, Mateusz Śmietana, Bartosz Michalak, Anna K. Dębowska, Mariusz Dudek, B.S. Witkowski, Predrag Mikulic, Wojtek J. Bock

Bibliographic record

Venuephysica status solidi (a) · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversité du Québec en Outaouais
FundersNarodowe Centrum Badań i Rozwoju
KeywordsMaterials sciencePlasma-enhanced chemical vapor depositionDiamond-like carbonRefractive indexOptoelectronicsChemical vapor depositionUltravioletDeposition (geology)GratingCoatingOpticsComposite materialThin filmNanotechnology

Abstract

fetched live from OpenAlex

The paper discusses the properties of diamond‐like carbon (DLC) thin overlays deposited with radio frequency plasma‐enhanced chemical vapour deposition (RF PECVD) method on optical fibres with long‐period fibre gratings (LPFGs) induced by UV irradiation. In consequence of low deposition temperature, the UV‐induced LPFGs can be coated with DLC without damaging the thermally‐instable grating structure. We have found that properties of the DLC overlays highly depend on a distance between the LPFG and electrode in the deposition chamber. Moreover, the response of the LPFG to variation in external refractive index (RI) can be tuned by deposition of DLC nano‐overlay. For the investigated DLC‐coated LPFGs we obtained sensitivity reaching over 3000 nm per RI unit in the range of nD = 1.33 to 1.37 RIU, which is almost 12 fold higher than for the LPFGs with no overlay in the same RI range.

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 score0.003
Threshold uncertainty score0.005

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 head0.231
Teacher spread0.218 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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