Simultaneous Segment Orientation and Anchoring for Robust Hydrogel Coating with Underwater Superoleophobicity
Bibliographic record
Abstract
Abstract Underwater adhesive superoleophobic coatings are in high demand for underwater activities. However, hydrogel coatings have limited adhesiveness for long periods. In this work, a novel approach is presented that employs synergistic segment orientation and covalent anchoring strategies to fabricate superoleophobic hydrogel coatings on different substrates without prior surface treatments. The coating demonstrated remarkable long‐lasting superoleophobic properties even in extreme underwater environments. It also exhibited strong adhesion with a shear strength of up to 5 MPa and antiswelling and antibiofouling properties, making it highly effective for applications in antiliquid adhesion, crude oil self‐cleaning, and antibiofouling. The simplicity, ease of preparation, and exceptional performance of the hydrogel coating provide a notable example for the synergistic segment orientation and covalent anchoring of hydrogel‐based underwater coatings. Therefore, this study provides a new paradigm for designing straightforward surface‐functional materials.
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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) | 0.000 | 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".