Simulation of sedimentation of polydisperse suspensions: A particle‐based approach
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The global behavior of sedimenting monodisperse suspensions of rigid spheres can be deduced from the flux plot, but this approach is not available for polydisperse suspensions. The rapid increase in computing power has made simulation an attractive method. Sedimentation of suspensions with many species can now be handled easily. Two sources of difficulty, generation of a concentration gradient and control of fluctuations in concentration, can be overcome by choosing the controlling concentration as that immediately below the test sphere. Applied to randomly distributed particles, our deterministic algorithm yields the ensemble behavior of each species and prepares the way for stochastic simulations by correcting density inversions. The simplicity and generality of the method make it feasible to test any theoretical or empirical model against any experimental data. Simulating the experiments and comparing the simulated and experimental results is illustrated. © 2005 American Institute of Chemical Engineers AIChE J, 2005
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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 it