Poly(vinylidene fluoride)/molybdenum disulfide nanocomposite coatings: Studying the surface properties and corrosion protection
Bibliographic record
Abstract
Abstract Robust nanocomposite coatings based on polyvinylidene fluoride (PVDF) and molybdenum disulfide (MoS 2 ) nanoplatelets were prepared by a spray coating method. To achieve various surface structures, the coatings were dried at room and oven temperatures (20 and 200°C). All the samples dried at room temperature exhibited a highly porous surface structure, attributed to the strong nonsolvent role of water vapor, which triggered the nonsolvent‐induced phase separation (VIPS). On the other hand, the oven‐dried coatings showed a dense structure with no pores, resulting from eliminating the VIPS process by enhancing the drying temperature. MoS 2 nanoplatelets were localized at the surface layer and the adjacent beneath layers. The formation of α ‐type PVDF crystals was intensified for the oven‐dried samples based on the surface morphology and X‐ray diffraction patterns. Roughness analysis demonstrated that MoS 2 nanoplatelets interfere with the phase separation process leading to a lower porosity for the room‐dried coatings. The elimination of porosity by increasing the drying temperature caused the hydrophobicity of the coatings to be notably decreased. Polarization and electrochemical impedance spectroscopy results revealed that both polymeric and nanocomposite coatings improved the corrosion resistance of the aluminum substrates, and the oven‐dried pure PVDF coating exhibited the highest level of corrosion protection.
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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 | 0.001 | 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".