A Yeast-Fermented Porous Coating for Anti-Icing Enabled by Photothermal Trapping and Crack Promotion
Bibliographic record
Abstract
Photothermal anti-icing surfaces harness solar energy for efficient deicing and hold promise for preventing ice accretion. However, under prolonged severe conditions, ice buildup is inevitable, making low ice adhesion a critical safeguard for effective removal. Here, we report a yeast-fermented porous coating (YFPC) that integrates strong photothermal performance with interfacial crack promotion to overcome these limitations. The coating is fabricated scalably in a single step by spraying a silicone/carbon nanoparticles (CNPs)/yeast emulsion: CNPs assemble at droplet interfaces to generate a hierarchical light-trapping texture, while yeast fermentation forms the porous structure. This design endows the YFPC with exceptional photothermal performance, demonstrating a 55 °C temperature increase under one-sun irradiation. Crucially, the porous structure within the coating amplifies stress heterogeneity at the ice-coating interface, which triggers multiple microcracks along the adhesive interface, enabling rapid ice detachment with minimal force. By combining efficient solar-driven heating with crack-assisted ice release in a scalable fabrication process, this work establishes a new strategy for high-performance anti-icing coatings.
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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 | 0.001 | 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 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".