Effects of Flow Fluctuation on Dilution and Spreading in a Self‐Affine Fracture
Bibliographic record
Abstract
In this work, the spreading and dilution (mixing) processes of the miscible compound were analyzed numerically by three-dimensional Lattice Boltzmann Method (LBM) at a pore scale in a non-uniform flow field. The authors proposed an aperture-related dilution index to quantify the local dilution process in the different aperture regions. The results showed that the fluctuation of the compound spreading caused by the flow fluctuation depended on both the aqueous diffusivity and the frequency of the flow fluctuation. The flow fluctuation increased remarkably the original dilution index when the aqueous diffusivity of the miscible compound was relatively low. However, the analysis of the aperture-related dilution index showed that the degree of the dilution in smaller aperture regions was less than that in larger aperture regions, indicating that there was more incomplete dilution (mixing) in the smaller aperture region.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".