PVDF–HFP/PZT nanocomposite thin films: preparation, structure and piezoelectric properties
Bibliographic record
Abstract
Piezoelectric nanocomposites have attracted considerable attention from researchers during these last years for their wide use in the development of electromechanical microsystems (MEMS). In this paper, piezoelectric lead titanate zirconate (PZT) are used with poly(vinylidene fluoride-hexafuoropropylene) (PVdF-HFP) polymer matrix to prepare the piezo thin nanocomposite film. An improvement in the β phase in PVdF-HFP was created by the reaction between the PZT nanoparticles and PVdF-HFP. The process used for the preparation of the film results in the enhancement of the ferroelectric and piezoelectric properties of PVdF-HFP. These polymer nanocomposite films were made by the solvent casting method under ultra-sonication using THF as a solvent, with different percentages of PZT. The results confirm that incorporating PZT nanoparticles in the PVDF-HFP matrix increases the β-phase fraction, enhancing the efficiency of energy harvesting.
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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".