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Record W1689655874 · doi:10.1109/ceidp.1993.378946

Surface charging: Field and photo effects

2002· article· en· W1689655874 on OpenAlexaff
M. P. Pépin, Akli Younsi, H. J. Wintle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsQueen's University
Fundersnot available
KeywordsPhotoionizationElectrodeLow-density polyethyleneCathodeMaterials scienceUltravioletAnodeDielectricAnalytical Chemistry (journal)Polyethylene terephthalatePolyethyleneIrradiationOptoelectronicsAtomic physicsChemistryIonComposite materialIonizationPhysicsNuclear physics

Abstract

fetched live from OpenAlex

Charge build-up on the surface of a dielectric is investigated on the injection of charge from electrodes lying flush with the insulator surface. The materials tested were 19 /spl mu/m PET (polyethylene terephthalate) and 25 /spl mu/m PI. Some tests were also done on LDPE (low-density polyethylene) and Nylon 6-6. UV (ultraviolet) irradiation was carried out with a 4 W short wavelength tube (254 nm), giving an intensity of about 200 /spl mu/W/cm/sup 2/ at the sample plane. The results suggest that there is little effect without UV light. In gaseous ambients, there is homocharge injection at the electrode edges, presumably due to photoionization of the plastic near the anode, and of the electrode metal near the cathode. Once launched, negative charges propagate along the surface with a mobility comparable to a bulk mobility typical of ionic motion. In vacuum, a general photoionization of the surface also occurs, and this builds up until the original field at the surface is annulled.>

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)0.001
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.225
Teacher spread0.210 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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