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Record W2091690547 · doi:10.1103/physreve.64.046406

Interaction potential among dust grains in a plasma with ion flow

2001· article· en· W2091690547 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

VenuePhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDust and Plasma Wave Phenomena
Canadian institutionsUniversity of Waterloo
FundersNational Natural Science Foundation of China
KeywordsDusty plasmaPlasmaPhysicsDebye lengthWakeGrain sizeDielectric responseElectric potentialAmplitudeCharge (physics)Atomic physicsWavelengthIonMaterials scienceCondensed matter physicsMechanicsDielectricQuantum mechanics

Abstract

fetched live from OpenAlex

Linear-response dielectric theory is used to study the interaction potential between dust grains in a flowing plasma, taking into account the finite sizes and the asymmetric charge distributions of the grains. This potential can be divided into two parts: a screened Coulomb potential and a wake potential. The former is a short-ranged repulsive potential, while the later is a long-ranged oscillatory potential which acts only on trailing grains. Both the amplitude and wavelength of the wake potential depend on the Mach number. The grain size and the asymmetric charge distribution may affect the interaction potential in a significant way when the distances between grains are comparable with the grain size, or when the grain size is comparable with the plasma Debye length.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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