Robust coating for high-temperature and corrosion-resistant
Bibliographic record
Abstract
Polysilazane (PSZ) is a class of novel materials with significant advantages; however, its practical applications are severely limited due to drawbacks such as the need for high-temperature curing and susceptibility to brittleness and cracking. Consequently, we have chosen PSZ and epoxy resin (EP) as the film-forming resins, with silica aerogel (SiO2gel) serving as the inorganic filler, to fabricate a SiO2gel–PSZ/EP composite coating capable of curing at room temperature. The incorporation of EP and SiO2gel has improved the toughness, mechanical stability, and thermal stability of PSZ. After 800 cycles of abrasion wear, the composite coating maintained its surface integrity. The scratch test rated its adhesion at level 1. Additionally, after 14 days of immersion in acidic and alkaline solutions, the coating demonstrated favorable chemical stability. The coating underwent 10 cycles of thermal shock testing, during which no significant cracking or peeling was observed on the surface. Finally, electrochemical impedance spectroscopy testing revealed that, after exposure to 300 °C, the composite coating exhibited a corrosion current density of 1.23 × 10−10 cm2, corresponding to a corrosion protection efficiency of up to 99.99%. In summary, the coating maintains excellent anticorrosion properties even after exposure to high temperatures and demonstrates outstanding stability, significantly enhancing its durability in harsh environments. This enhancement suggests a broad potential for applications in the field of subsea transportation.
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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".