Aluminium films roughened by hot water treatment and derivatized by fluoroalkyl phosphonic acid: wettability studies
Bibliographic record
Abstract
Aluminium (Al) films roughened by hot water treatment were used to investigate the impact of their roughness on hydrophobicity upon their derivatization via self-assembled monolayers (SAMs) of a fluoroalkyl phosphonic acid (FPA). Superhydrophobicity was achieved for FPA-derivatized Al films that had been treated in hot water briefly (e.g. 60–180 s), while for prolonged treatment times (e.g. beyond 240 s) degraded hydrophobicity was observed. The observed degradation of hydrophobicity is attributed to surface morphology changes causing water to enter the pores of the roughened Al films. Also studied is the surface chemistry of the FPA SAMs derivatized on Al films, including their thermal stability and a possible mechanism that improves the hydrophobicity. Our results demonstrate that an Al surface immersed in hot water for a couple of minutes generates a porous morphology suitable for rendering superhydrophobicity upon derivatization of the robust FPA SAMs.
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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".