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Record W3103170844 · doi:10.1088/1361-6463/abcb32

Refined analysis of current–voltage characteristics in Townsend dielectric barrier discharges in nitrogen at atmospheric pressure

2020· article· en· W3103170844 on OpenAlexafffund
Naomi de Mejanes, Jacopo Profili, Sara Babaei, Nicolas Naudé, Luc Stafford

Bibliographic record

VenueJournal of Physics D Applied Physics · 2020
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaAgence Nationale de la Recherche
KeywordsCapacitanceAtmospheric pressureCurrent (fluid)DielectricMaterials scienceDielectric barrier dischargeVoltagePlane (geometry)ElectrodeNitrogenTownsend dischargeMechanicsFlow (mathematics)Analytical Chemistry (journal)ChemistryOptoelectronicsElectrical engineeringPhysicsThermodynamicsMeteorology

Abstract

fetched live from OpenAlex

Abstract A refined method is proposed to analyze surface spreading phenomena along the gas flow lines in plane-to-plane Townsend dielectric barrier discharges (TDBDs) in nitrogen at atmospheric pressure. Current–voltage characteristics are recorded as a function of gas residence time using a recently-developed, fragmented-electrode system and the results are analyzed using an equivalent circuit model using dielectric, gas and parasitic capacitances as adjustable parameters. The results show that the capacitance values are directly correlated to the surface spreading of the TDBD, which in turn, influences the shape of the discharge current and gas voltage curves for each half-cycle of the applied voltage. This highlights the importance of a good determination of the effective discharge surface area and therefore of the capacitance values in electrical analysis of TDBD.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.264
Teacher spread0.246 · 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

Citations10
Published2020
Admission routes2
Has abstractyes

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