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Record W2001299302 · doi:10.1615/jpormedia.v3.i2.30

On the Transition Between Aiding and Opposing Double-Diffusive Flows in a Vertical Porous Cavity

2000· article· en· W2001299302 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 Porous Media · 2000
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsLewis numberBuoyancyNatural convectionMechanicsRayleigh numberBoussinesq approximation (buoyancy)Porous mediumThermodynamicsDouble diffusive convectionPorosityConvectionFlow (mathematics)Type (biology)PhysicsMaterials scienceMathematicsMass transferGeology

Abstract

fetched live from OpenAlex

Double-diffusive natural convection in a vertical porous layer induced by horizontal gradients of heat and mass is studied analytically and numerically using the Darcy model with the Boussinesq approximation. The governing parameters of the problem are the Rayleigh number, RT the Lewis number, Le, the buoyancy ratio, N, and the aspect ratio of the porous matrix, A. An approximate analytical solution to the present problem is obtained on the basis of the parallel flow approximation. Two types of solutions are found to exist for the situation in which thermal and solutal buoyancy forces oppose each other and are of comparable intensity. The domains of existence of each type of solution are delineated in terms of the buoyancy ratio, N, and the Lewis number, Le. Solving numerically the full governing equations, it is demonstrated that multiple steady-state solutions are possible and they are found to agree with the analytical solution. The results obtained in this article complete the results available in the literature concerning this subject.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.383

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 communication0.0000.000
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 head0.016
GPT teacher head0.220
Teacher spread0.203 · 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