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Record W2001922025 · doi:10.1116/1.1349200

Energy spectra of electrons in a dc glow discharge with a semitransparent anode

2001· article· en· W2001922025 on OpenAlexafffund
V.D. Pletnev, S. Źükotyński

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2001
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAnodeElectronAtomic physicsSpectral lineCathodeKinetic energySpace chargeMonte Carlo methodMaterials scienceGlow dischargeIonPlanarHydrogenComputational physicsPhysicsChemistryElectrodePlasma

Abstract

fetched live from OpenAlex

A numerical model for a planar dc discharge with a semitransparent anode positioned between two symmetrical cathodes is developed. The kinetic equation is solved iteratively by means of the direct Monte Carlo method. This approach makes it possible to find stationary particle fluxes and space-charge distributions with controlled precision. The numerical calculations are carried out for hydrogen, in which case the model can be well tested. The role of the semitransparency of the anode is investigated with respect to the formation of a space-charge layer and electron energy spectra. The conditions for a stable self-sustained discharged with a semitransparent anode are discussed. The energy spectra for electrons are found to be very far from equilibrium and to have peaks linked with the peculiarities of the inelastic electron–atom collisions at low energies. The possibility of controlling the electron energy spectra using the transparency of the anode is considered.

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 score0.092
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.005
GPT teacher head0.201
Teacher spread0.197 · 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

Citations4
Published2001
Admission routes2
Has abstractyes

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