Non-classical scaling for forced wetting of a nematic fluid on a polymeric fiber
Bibliographic record
Abstract
We report on the forced wetting of a liquid crystal on a polymer fiber in the nematic and isotropic phase under partial wetting conditions. As the cylindrical fiber exits from the fluid reservoir, the fluid forced-coated on the fiber is immediately broken into droplets due to capillary-driven instability, even in the wetting conditions. For the nematic fluid, the initial film thickness, h, before breakup, scales almost linearly with the capillary number, Ca, as h ∼ Ca0.94, while h ∼ Ca2/3 for the isotropic fluid, as predicted for a Newtonian fluid. The amount of the fluid coated on a fiber is larger in the nematic phase than in the isotropic phase at a given velocity within the velocity range studied. Analysis using Ericksen-Leslie equations shows that Frank elasticity plays no role in increasing the coating thickness for the nematic fluid, while viscous anisotropy is the source of observed rescaling, h ∼ Ca. This non-classical scaling is attributed to the deformation-stress cross-coupling and the existence of extensional kinematics in the meniscus formation 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 | 0.000 | 0.001 |
| 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".