Experimental Observation of Sessile Water Droplets in Nematic-Water Mixture Cells
Bibliographic record
Abstract
An experimental phenomenon - formation of small (3–5 microns) sessile water droplets attached to the glass plates of the liquid crystal cells with either 96.42 wt% Merck 997–3.58 wt% water mixture or 96.80 wt% Liquid crystal 440–3.20 wt% water mixture after the heating-cooling cycle through the clearing point has been observed. The effect can be enhanced by use of either lecithin dissolved in the liquid crystal, or polyvinyl alcohol (PVA) dissolved in the water. In these cases the number of the sessile water droplets increases and their radius decreases. The sessile water droplets disturb the initial homeotropic orientation of the nematic Merck 997-water mixtures and many cross-like or more complex birefringent patterns are observed. When the orientation of the liquid crystal is planar at both surfaces (Liquid crystal 440-water mixture) one observes the formation of Schlierentextures. This effect is explained by phase separation of that part of the water which has been dissolved in the liquid crystalline matrix. The effect of the phase separation of the water is accompanied by increase of the clearing point which can reach that of the pure liquid crystal.
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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".