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Record W1969766377 · doi:10.1088/0022-3727/33/17/310

Particle turbulent dispersion and loading effects in an inductively coupled radio frequency plasma

2000· article· en· W1969766377 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Physics D Applied Physics · 2000
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsParticle (ecology)Dispersion (optics)TurbulenceMomentum (technical analysis)PlasmaPhysicsInductively coupled plasmaMomentum transferAtomic physicsMechanicsComputational physicsMaterials scienceNuclear physicsScatteringOptics

Abstract

fetched live from OpenAlex

Particle turbulent dispersion and particle loading effects in an inductively coupled radio frequency (rf) plasma reactor are investigated numerically. Comparison is made between the effects of particle turbulent dispersion and deterministic dispersion processes to show the significance of particle turbulent dispersion in this kind of reactor system. The relative importance of particle turbulent dispersion is found to be sensitive to the Stokes number in the particle loaded plasma flow. The plasma-particle energy and momentum loading effects (two-way coupling effects) are studied separately to highlight their respective roles in the energy and momentum transfer between the plasma and the particles. The results show that both energy loading and momentum loading have significant influence on the plasma and particle temperature and velocity profiles. The effect of energy loading is more pronounced.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.919

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 communication0.0000.001
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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