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Record W2015260328 · doi:10.1063/1.873787

The generalized hydrodynamic equations for arbitrary collision frequency in a weakly ionized plasma

2000· article· en· W2015260328 on OpenAlexafffund
E. Furkal, A. I. Smolyakov

Bibliographic record

VenuePhysics of Plasmas · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDust and Plasma Wave Phenomena
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhysicsCollision frequencyPlasmaVelocity MomentsElectronIonizationBoltzmann equationHeat fluxMoment (physics)Coulomb collisionViscosityClassical mechanicsKinetic theoryMean free pathQuantum electrodynamicsMechanicsHeat transferQuantum mechanicsInelastic collisionThermodynamics

Abstract

fetched live from OpenAlex

Electron transport processes in a weakly ionized plasma with elastic electron-neutral collisions are studied by using the hybrid fluid/kinetic approach. The standard hierarchy of fluid moment equations is closed with expressions for higher hydrodynamic moments (heat flux and viscosity) in terms of the lower moments (temperature, density, and fluid velocity). The heat fluxes and viscosity moments are determined in the linear approximation from the kinetic equation in the Chapman–Enskog form. The obtained system of moment equations describe the transport processes in weakly ionized plasmas in the most general ordering, when the electron mean free path vTe/νe is arbitrary with respect to the characteristic length scale k−1 of the system’s inhomogeneity, and collision frequency νe is arbitrary with respect to the characteristic frequency ω. General expressions for the nonlocal (time and spatial dependent) transport coefficients are obtained. In the nonlocal limit, kvTe≫νe, the derived transport coefficients describe the wave–particle (Landau) interaction effects. Implications of nonlocal effects on plasma heating mechanisms are discussed.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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 designTheoretical or conceptual
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

Citations6
Published2000
Admission routes2
Has abstractyes

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