THERMODIFFUSION IN CAVITY FILLED WITH A BINARY MIXTURE
Bibliographic record
Abstract
In this paper, the onset of thermo-solutal convection in a liquid layer overlying a porous layer has been studied, where the whole system being laterally heated. The non-linear two-dimensional Navier Stokes equations, the energy equation, continuity equation, and the mass balance equation are solved for the liquid layer. The modified Brinkman model is taken into consideration for the porous layer. The partial differential equations are solved numerically using the finite element technique. The thermo-solutal convection in the presence of thermodiffusion or Soret effect is studied in details. Three different cases will be investigated, case 1 the system is a porous cavity filled with liquid, case 2 the system is a non porous cavity and thirdly the system is a liquid layer overlying a porous layer. It is shown that at low gravity, separation occurs in the absence of buoyancy. In the presence of buoyancy, mixing occurs into the cavity and no separation exists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".