Polyhedral oligomeric silsesquioxane/epoxy coatings: a review
Bibliographic record
Abstract
Nowadays, there is a need for a paradigm shift in material selection for surface coatings so as to meet the requirements of advanced systems. Polyhedral oligomeric silsesquioxanes (POSS) are three-dimensional networks with a silica-like core covered by an organic shell, a promising nanosized structure for organic coatings. The use of POSS structures in coating materials has experienced an almost erratic period over the past decade, mainly because of the synthesis of POSS being exclusive and, to some extent, expressive. However, there has been a big return to the use of POSS in coatings during the last years. Epoxy is best known for its versatility of usage as an organic coating. Hybrid organic–inorganic POSS nanostructures with unique properties are a complement to the epoxy for coating applications. The tailorable compatibility and considerable reactivity of POSS molecules towards organic groups have made them promising candidates for emerging multifunctional epoxy coatings. In this sense, the focus of this review is placed on POSS/epoxy nanocomposite coatings. The thermal, mechanical, anti-corrosion and dielectric properties of POSS/epoxy coatings have been comprehensively studied and discussed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".