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Record W2792110680 · doi:10.1139/cjp-2018-0138

The thickness dependence of dielectric properties in the plasma polymer thin films

2018· article· en· W2792110680 on OpenAlexvenueno aff
Kemal Ulutaş

Bibliographic record

VenueCanadian Journal of Physics · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsnot available
Fundersnot available
KeywordsDielectricThin filmMaterials scienceRelaxation (psychology)PlasmaPlasma polymerizationAnalytical Chemistry (journal)Substrate (aquarium)CapacitancePolymerComposite materialPolymerizationOptoelectronicsPhysicsNanotechnologyChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, the results of dielectric spectroscopy of plasma polymerized poly(ethylene oxide) thin films are presented. The films were deposited by plasma-assisted physical vapour deposition at radio-frequency plasma discharge power of 5 W, and film thicknesses of 20, 100, and 250 nm. Dielectric measurements of the films were performed in the frequency range of 10−1–107 Hz and temperature was scanned between 173 and 353 K. The dielectric constant ([Formula: see text]) and dielectric loss ([Formula: see text]) of plasma polymerized poly(ethylene oxide) thin films were calculated by measuring capacitance (C) and dielectric loss factor (tanδ). It was observed that there were two relaxation mechanisms in the investigated frequency range. These were called α and β relaxations. These relaxations shift toward higher frequencies with increasing temperature. Moreover, α-relaxation starts to appear at different temperatures. This shows the difference between the polarizability abilities of samples at the same temperature and same frequencies. The reason for this behavior can be expressed by the dead layer concept, which is a result of good adhesion of the bottom layer of plasma polymer to the substrate. In light of these interpretations, with thinner samples it is possible to have structurally similar thin films like thin films deposited at high plasma power. A thinner film may support more transparency and these thinner films may be effective as coverage of optical devices, such as lenses, visors, etc.

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 integrity0.0000.001
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 head0.017
GPT teacher head0.201
Teacher spread0.184 · 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".

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Citations4
Published2018
Admission routes1
Has abstractyes

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