Study of ice accumulation on nanocomposite semiconducting coatings
Bibliographic record
Abstract
Nanocomposite materials are attracting the attention of many researchers in the field of dielectric and electrical insulation. In this paper, we produced a dielectric coating on a glass surface by incorporating ZnO nanoparticles into RTV silicone rubber. Different concentrations of nanofiller (up to 40 % ZnO) were investigated. Physicochemical characterization of these coatings was performed using SEM and water contact angle (WCA). The influence of the nanofiller concentration in a specific frequency range (40 Hz to 2 MHz) on the dielectric behavior of the nanocomposites was analyzed as well. The results showed that the dielectric constant of nanocomposites increases with the ZnO weight content. Then, ice was accreted on the surfaces to evaluate the minimum energy required to prevent ice accumulation based on the Joule heating effect. The results are discussed and emphasis is placed on the semiconducting properties influencing ice accumulation.
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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) | 0.000 | 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 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".