Impact of BaTiO<sub>3</sub> as insulative ferroelectric barrier on the broadband dielectric properties of MWCNT/PVDF nanocomposites
Bibliographic record
Abstract
This study was devoted to investigating the effects of BaTiO3 incorporation on the broadband dielectric properties of melt‐mixed multi‐walled carbon nanotube/poly(vinylidene fluoride) (MWCNT/PVDF) nanocomposites. BaTiO3, as insulative barrier, was incorporated into the composites with MWCNT loadings close to and above the percolation threshold, where conductive networks were unstable and newly formed. The results showed that BaTiO3 did not create any change in the volume resistivity and percolation curve; nevertheless, it reduced the dissipation factor considerably. For instance, at 100 Hz the dissipation factor of the MWCNT/PVDF nanocomposite was 130, which dropped to 48 and 0.45 by adding 1.0 and 3.0 vol% BaTiO3, respectively. It was also observed that incorporating BaTiO3 muted the descending trends of dielectric permittivity and dielectric loss with frequency, confirming the role of BaTiO3 as insulative barrier. The positive impact of BaTiO3 on the dielectric properties of the MWCNT/PVDF nanocomposites was attributed to deteriorated conductive network. POLYM. COMPOS., 299–304, 2016. © 2014 Society of Plastics Engineers
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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".