COALESCENCE AND AGGLOMERATION OF DROPLETS SPRAYED ON A SUBSTRATE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The coalescence of droplets of a highly viscous liquid (87 wt% glycerin in water) sprayed onto a solid surface was studied. Experiments were done on the merger of two droplets deposited sequentially on a flat surface and also on liquid droplets sprayed onto a surface. Two unequal sized droplets were deposited on a steel plate, with the smaller one overlapping the larger. The different curvatures of the two droplets produce different capillary pressures in them, driving them to merge. The smaller droplet was pulled into the larger one; the greater the difference in size between the droplets, and the larger their separation, the more rapid the droplet motion. Experiments were also done in which liquid was sprayed onto a transparent surface and the motion of the impacting droplets photographed from below. Measurements of the wetted surface area were done using image analysis. The wetted area first increased as liquid was deposited. Once the spray was turned off the area decreased as smaller droplets merged with larger ones. Droplet coalescence prevented the formation of a uniform film and liquid accumulated in separate patches.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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