Dielectric Properties of Polypropylene/Polystyrene Blends
Bibliographic record
Abstract
Polyolefins are currently used as electric insulators in engineering applications. Blending polymers is one of the ways to obtain materials with enhanced specific properties such as electrical, mechanical or rheological properties. Usually polymers are immiscible together, thus the resulting properties are directly related to microstructure of the blends. In this paper, the dielectric properties of polypropylene (PP) and polystyrene (PS), two immiscible polymers and their blends, were investigated at a range of concentration where these two polymers form a co-continuous structure where one of the polymer percolates through the other one, and at lower concentration of the minor (or dispersed) phase where it can form a droplet-type structure, the minor phase being embedded into the matrix of the major (or dispersing) phase. The purpose is then to determine the evolution of the electrical properties according to the amount of each polymer involved in the blend in order to determine the best ratio for specific applications.
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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) | 0.001 | 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".