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Record W4407062332 · doi:10.1134/s1063778824090424

Calculation of Glow Discharge Parameters in a Supersonic Axisymmetric Helium Flow

2024· article· en· W4407062332 on OpenAlexaboutno aff
Б. А. Тимеркаев, O. A. Petrova, A I Sayfutdinov, Д. И. Исрафилов

Bibliographic record

VenuePhysics of Atomic Nuclei · 2024
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsHeliumRotational symmetrySupersonic speedChoked flowAtomic physicsGlow dischargeFlow (mathematics)MechanicsNuclear physicsPlasma

Abstract

fetched live from OpenAlex

Abstract The parameters of a glow discharge in helium with a nonuniform distribution of the density of neutral particles along the discharge gap have been calculated for a one-dimensional axisymmetric geometry. This formulation of the problem corresponds to the condition of generating a discharge between a Laval nozzle with a central body, which is the anode, and a ring cathode located coaxially to the central body at low pressures. In this case, a supersonic gas flow is generated through the Laval nozzle, which creates an increased gas pressure near the central body (anode), and high vacuum is maintained outside the supersonic jet. Thus, the internal structure of this discharge will depend on the density of gas particles in different regions of the interelectrode space. It has been established that this method of organizing a glow discharge in a supersonic gas flow makes it possible to control the spatial distribution of the internal characteristics of the discharge.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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 designSimulation or modeling
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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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