Effect of Few-Layer Graphene on the Dielectric Properties and Space Charge of Polypropylene/Graphene Nanocomposites
Bibliographic record
Abstract
Commodity polymer, polypropylene (PP) was mixed with commercial few-layer graphene (FLG) produced by mechanochemical exfoliation of graphite. The dielectric properties and space charges (SC) dynamism were investigated at$1 \text{wt}. {\%}$of FLG. It is well-known that SC play an important role on the dielectric behavior of insulating materials. The results show the presence of FLG agglomerates within the matrix. However, even with the presence of those agglomerates, the space charge accumulation within the nanocomposite were reduced compared to the neat PP and this is even more marked at higher temperature. It is proposed in this paper that morphology modification of PP caused by the nucleating effect of the filler, introduced deep traps that further reduced SC accumulation into the composite material. The contribution of FLG lead to a slight increase of the dielectric permittivity. Yet, it remains a good candidate for power cables insulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".