Parameter optimization of phase-field-based LBM model for calculating capillary forces
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Bibliographic record
Abstract
Recently, Younes et al. (2022) developed a phase-field-based Lattice Boltzmann Method (LBM) model capable of capturing the merging of capillary bridges in a triplet configuration without relying on geometrical criteria, thus enabling an easy transition from pendular to funicular regimes. However, the computational time of the formation of capillary bridges is quite significant particularly when it comes to coupling a macroscopic method (e.g. FEM) with a DEM-LBM coupling model to simulate engineering structures. In this study, we present a parameter optimization strategy aimed at accelerating the computational efficiency of the LBM alone. We show that even by not accounting for transient evolutions, we can still accurately obtain capillary forces with an error margin limited to 5% at equilibrium.
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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