Understanding the anti-icing behavior of superhydrophobic surfaces
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
Superhydrophobic surfaces (SHS) are promising nature-inspired materials in low-temperature-condition applications to resist frost, ice, snow and water drop freezing. However, other observations bring into question the advantage of using SHS. In particular, the water supercooling phenomenon and the lack of characterization methods make it difficult to understand icing phenomena on SHS. Here, the authors bring about clarity by measuring water kinetic freezing points on surfaces of various wettabilites through differential scanning calorimetry technique. It is shown that under relatively dry environment, the freezing delay on cold surfaces is attributed to the water-freezing-point depression, which is determined by the combined effect of surface chemistry and roughness. In addition, drop-freezing tests using a thermoelectric cooler under humid atmosphere showed that the freezing delay is dependent on the frosting, as well. Frost crystals growing on the cold surface will act as nucleus initiating drop freezing. The results of this study provide new insights into the mechanism responsible for the drop-freezing delay on SHS. This article contains supporting information that is available online.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it