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Record W2887707365 · doi:10.1063/1.5025430

Generation of a long uniform low-temperature RF discharge in helium up to atmospheric pressure

2018· article· en· W2887707365 on OpenAlexafffund
Jean-Sébastien Boisvert, François Vidal, J. Margot

Bibliographic record

VenuePhysics of Plasmas · 2018
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsUniversité de MontréalInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTorrHeliumAtmospheric pressureRADIUSAtomic physicsPlasmaElectrodePhysicsVoltageGas-filled tubeBrush dischargePressure gradientBreakdown voltageAtmospheric-pressure plasmaAnalytical Chemistry (journal)Electric dischargeMaterials scienceElectrical engineeringMechanicsChemistryThermodynamicsMeteorology

Abstract

fetched live from OpenAlex

A long uniform low-temperature discharge is achieved inside a 1 mm radius fused silica tube using plane parallel linear electrodes. At a driving frequency of 13.56 MHz, a pure helium discharge is generated from 10 Torr to atmospheric pressure without any gas flow. Depending on the applied power and pressure, the discharge occurs either in the Ω or in the γ mode. As long as the gas flow is zero, the discharge shows no gradient along the electrodes. Consequently, the length of the discharge is only limited by the axial dimension of the electrodes. As the pressure increases, the Ω to γ transition occurs at higher and higher power densities. The breakdown voltage is minimum at 75 Torr with a power density down to 0.1 W cm−3. However, below 20 Torr, charged particle losses become very important so that the breakdown and maintaining voltages increase drastically. Regardless of the pressure, the gas temperature is found to always lie between 300 and 520 K.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.020
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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 teacher head, 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

Citations5
Published2018
Admission routes2
Has abstractyes

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