Durable superhydrophobic coatings based on CNTs-SiO2gel hybrids for anti-corrosion and thermal insulation
Why this work is in the frame
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Bibliographic record
Abstract
When steel structure buildings appear more frequently in our lives, the anti-corrosion and thermal insulation capacity of steel as the substrate is an inevitable difficult problem. To solve this problem, we propose a carbon nanotube silica aerogel hybrid (CNTs-SiO 2 gel hybrids), which is a new type of nanoparticle obtained by grafting the modified silica aerogel onto carbon nanotubes. After that, the superhydrophobic coating was prepared on Q235 steel by simple one-step spraying. The prepared superhydrophobic coating has a stable micro nanolayered structure and excellent hydrophobicity , with a contact angle of 168.7 ± 1°and a sliding angle of 4.5 ± 0.4°. The superhydrophobic coating can withstand various mechanical and chemical durability tests and maintained good superhydrophobic properties. The electrochemical experimental analysis shows that the corrosion current density of CNTs-SiO 2 gel hybrids superhydrophobic coating is 1.55 × 10 −7 A/cm 2 is three orders of magnitude lower than steel plate (1.07 × 10 −4 A/cm 2 ), indicating that CNTs-SiO 2 gel hybrids have excellent corrosion resistance . CNTs-SiO 2 gel hybrids superhydrophobic coating has achieved certain thermal insulation performance compared with ordinary CNTs-SiO 2 coating. CNTs-SiO 2 gel hybrids superhydrophobic coating, which has both anti-corrosion and thermal insulation capabilities, will certainly expand the practical application of superhydrophobic coating.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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