Measurement of Thermodiffusion Coefficient for Binary Hydrocarbon Fluid Mixtures in Porous Medium: Experimental and Numerical Results
Bibliographic record
Abstract
There has been a discussion that the thermodiffusion in porous medium is not identical to thermodiffusion in clear liquid. To validate this finding, a new thermodiffusion cell has been designed to measure thermal and molecular diffusion coefficients of binary mixture in porous medium under high pressure. A porous layer located between two liquid layers that cross two laser beams, is used. The difference of refractive index is obtained from the analysis of the interferograms recorded with a CCD camera. From the kinetics, the values of molecular and thermal diffusion coefficients through the porous medium were determined. The two binary systems dodecane (C12) and isobutylbenzene (IBB), and dodecane (C12) and tetrahydronaphthalene (THN) are used to validate the experimental setup at atmospheric pressure. Experimental results reveal an excellent agreement with benchmark values and a good agreement with theoretical data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".