Bibliographic record
Abstract
Abstract We study by direct numerical simulation the role of spherical, solid, uniformly sized, moving particles immersed in a fluid in spreading a passive scalar with high Schmidt number dissolved in the fluid. The solid particles are one‐way coupled to the fluid: they agitate the fluid but they do not feel the presence of the fluid (they move as a granular gas). The two independent variables in the simulations are the solids volume fraction that we vary in the range of 10–45%, and the granular Reynolds number, based on the particle diameter and the granular temperature, which has been varied from 2.8 to 280. It is shown that the scalar spreading rate strongly decreases with increasing solids volume fraction; the spreading appears to scale quite well with the mean free path of the particles. At increasing granular Reynolds number the fluid flow develops more small scale structures that enhance scalar spreading. We propose a relation for an effective diffusion coefficient that describes the scalar spreading in terms of the independent variables. © 2008 American Institute of Chemical Engineers AIChE J, 2008
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".