Polyethylene-based nanodielectric containing Octaisobutyl Polyhedral Oligomeric SilSesquioxanes obtained by hexane slurry blending
Bibliographic record
Abstract
Nanodielectrics have attracted the attention of many scientists and industrials as they may present superior dielectric properties compared to conventional dielectric composites. However, the success of these materials relies on a proper dispersion of the nanofiller within the matrix. In this work, the efficacy of hexane slurry blending in obtaining Low Density PolyEthylene (LDPE) based nanodielectric containing 5 wt% Octaisobutyl Polyhedral Oligomeric SilSesquioxanes (OibPOSS) was tested. The resulting dielectric was characterized using atomic force microscopy, optical microscopy, fourier transform infrared spectroscopy, broadband dielectric spectroscopy and progressive-stress breakdown tests. The results showed hexane slurry blending is a possible yet inefficient way to obtain LDPE/OibPOSS nanodielectric.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".