2D-Sintering Kinetics of Two Model Fluids as Drops
Bibliographic record
Abstract
The aim of the present work was to examine the effect of the rheological behavior of polymer liquids on the kinetics of the sintering process between two drops of the same liquid put in close vicinity of a solid surface. Nine samples of three different natures have been used: three poly(dimetylsiloxane)s (PDMS) of various viscosities, two polybutenes (PB) of different viscosities and four Boger fluids. The sintering experiments were carried out with a PTFE (polytetrafluoroethylene) substrate at room temperature. The surface tension of the samples was measured with the sessile drop method and the sintering process was captured by a CCD camera and the variation in time of the neck radius during was compared to Bellehumeur et al. model. The effects of viscosity, surface tension and relaxation time are discussed.
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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".