An Aqueous Process for Durable Superamphiphobic Diblock Copolymer Coatings on Fabrics
Bibliographic record
Abstract
Many strategies have been developed to prepare superamphiphobic fabrics that strongly repel water‐ and oil‐borne contaminants and etchants. However, the common drawback in these reported strategies is the use of organic solvents, which should be eliminated or reduced for practical applications. In this paper, the diblock copolymer of poly(2‐perfluorooctylethyl acrylate)‐block‐poly(glycidyl methacrylate‐ radom‐methoxy oligoethyleneglycolyl methacrylate) [PFOEA‐b‐P(GMA‐r‐mOEGMA)]is synthesized via atom transfer radical polymerization and used to coat cotton and poly(ethylene terphthalate) fabrics from an aqueous process. It is found that fabrics with tunable and robust wettablity can be prepared from copolymer solution at different concentrations. For example, fabrics coated at a copolymer solution concentration of 22.8 mg mL‐1 are superamphiphobic. This process of current stratey is environment‐friendly, simple, and reproducible, and may find commercial applications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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 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".