Versatile Snail-Inspired Superamphiphobic Coatings with Repeatable Adhesion and Recyclability
Bibliographic record
Abstract
Superamphiphobic surfaces with extreme repellency toward both water and oily liquids have been developed from various nanocomposites with fluorinated compounds. However, the inherent rigidity and low-surface-energy of these composites restrict their adhesion and practical application in adjusting the surface wettabilities of materials. Here we report a strategy to create hybrid superamphiphobic coating with rapid contact adhesion to various kinds of substrates, strong and controllable adhesive strength, unprecedented capability of mechanical deformations, facile removal, repeatable adhesion, and simple recyclization. Our approach, inspired by snail's ideal combination of hard shell and soft epiphragm, is versatile and industrially-viable because we use the hydrogel primer to bond the fluorinated nanoparticle finish and substrates. Considering the unique characteristics of these coatings as well as the wide range of available hydrogels and nanomaterials that can be used via this approach, we envision that this snail-inspired strategy will facilitate the development and large-scale production of superamphiphobic coatings.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.027 |
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".