Biomimetic Micro‐<scp>P</scp>atterning of Epoxy Coatings for Enhanced Surface Hydrophobicity and Low Friction
Why this work is in the frame
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Bibliographic record
Abstract
Biomimetic micro‐structures are fabricated with a two‐stage pattern transfer process on conventional epoxy coatings. The pattern transfer process uses a soft‐polymer negative stamp, where the flexibility of the stamp allows for easy conformation to both flat and curved surfaces. The hydrophobicity and friction behavior of the micro‐patterned epoxy coatings are systematically investigated, showing that surface patterning can be used as an effective way to improve hydrophobicity while reducing the surface adhesion and friction without a loss of the structural integrity or rigidity typical of epoxy coatings. This work demonstrates a feasible process for the utilization of biomimetic micro‐patterns within large‐scale industrial applications to improve the performance of conventional epoxy coatings.
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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 it