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Record W2016390112 · doi:10.1615/jpormedia.v11.i8.40

Gravitactic Bioconvection in a Fluid-Saturated Porous Medium with Double Diffusion

2008· article· en· W2016390112 on OpenAlexaff
Tri Nguyen-Quang, The Hung Nguyen, Georges Lepalec

Bibliographic record

VenueJournal of Porous Media · 2008
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsPolytechnique MontréalDalhousie University
Fundersnot available
KeywordsThermal diffusivityLewis numberPéclet numberConvectionPorous mediumMechanicsDiffusionThermophoresisDouble diffusive convectionRayleigh numberThermodynamicsInstabilityThermalMaterials sciencePorosityPhysicsMass transferNatural convectionNanofluid

Abstract

fetched live from OpenAlex

This paper examines the combined effects of density stratifications in porous media due to both gravitactic microorganism motion and thermal or solutal solicitation. These effects are coined in the literature by the term "double diffusion." In this case, an equation of conservation of energy or mass is added to the gravitactic bioconvection system. The problem is then governed by two Rayleigh numbers, a Peclet number (normalized swimming speed), and a Lewis number (ratio of thermal diffusivity/microorganism diffusivity). It is found that gravitactic bioconvection with double diffusion may contain a subcritical instability regime due in part to the gravitactic motion of microorganisms and in part to the weak diffusivity of the thermal/solutal solicitation. It is also found that there is an oscillatory regime that is established below the critical threshold of steady bioconvection. This oscillatory convection flow may arise when the diffusivity of the stabilizing component is weaker than that of the destabilizing component.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.012
GPT teacher head0.202
Teacher spread0.190 · 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

Citations10
Published2008
Admission routes1
Has abstractyes

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