Hygroscopic Polymer Monolayers with Ultralow Ice Adhesion Strength: Investigating Factors Influencing Ice Shedding Performance
Bibliographic record
Abstract
Surface-grafted hygroscopic polymer monolayers, lubricated by unfrozen water at subzero temperatures, have previously reduced ice adhesion strength ( τ ) on glass by up to 4-fold at −20 °C. In this study, we employ a different initiator system for surface-initiated atom transfer radical polymerization, enabling precise control over initiator and polymer grafting densities. Monolayer thickness is tuned via polymerization time and monomer concentration, and a novel method is introduced for its measurement. Systematic variation of coating type, thickness, and grafting density reveals an optimal formulation that lowers τ by 33 ± 4 times at −20 °C, an unprecedented performance for hygroscopic monolayers. These results highlight the strong potential of such coatings for ice shedding and inform the design of self-replenishing ice-shedding surfaces.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".