Computation of the Wetting Properties of Randomly Structured Superhydrophobic Surfaces
Why this work is in the frame
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Bibliographic record
Abstract
Superhydrophobic surfaces are extremely nonwetting by virtue of their surface chemistry and roughness. Applications for them are being pursued in coatings, microfluidics, textiles, and other areas. Most analyses of the wetting of superhydrophobic surfaces have focused on pillar geometries. However, mass-produced superhydrophobic surfaces are likely to have random topologies. A computational model for the wetting of rough one-dimensional surfaces is described, and applied to random, self-affine surfaces with various levels of roughness and intrinsic contact angles. It is found that all wetting properties are generally controlled by the Wenzel roughness parameter r, even when drops are in the suspended Cassie state. Superhydrophobicity is attained above a threshold value of r . Similar results are also found for the wetting of dual-scale surfaces.
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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 | 0.001 | 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