Capillary leveling of stepped films with inhomogeneous molecular\n mobility
Bibliographic record
Abstract
A homogeneous thin polymer film with a stepped height profile levels due to\nthe presence of Laplace pressure gradients. Here we report on studies of\npolymeric samples with precisely controlled, spatially inhomogeneous molecular\nweight distributions. The viscosity of a polymer melt strongly depends on the\nchain length distribution; thus, we learn about thin-film hydrodynamics with\nviscosity gradients. These gradients are achieved by stacking two films with\ndifferent molecular weights atop one another. After a sufficient time these\nsamples can be well described as having one dimensional viscosity gradients in\nthe plane of the film, with a uniform viscosity normal to the film. We develop\na hydrodynamic model that accurately predicts the shape of the experimentally\nobserved self-similar profiles. The model allows for the extraction of a\ncapillary velocity, the ratio of the surface tension and the viscosity, in the\nsystem. The results are in excellent agreement with capillary velocity\nmeasurements of uniform mono- and bi-disperse stepped films and are consistent\nwith bulk polymer rheology.\n
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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 | 0.000 |
| 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) | 0.001 | 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".