<scp>BaTiO<sub>3</sub></scp> Nanoparticle‐Modified <scp>PVDF</scp>‐<scp>HFP</scp>/<scp>PMMA</scp> Blend: Enhancing the Piezoelectricity Behavior for Advanced Energy Harvesting Applications
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT This study presents the development of flexible nanocomposite films composed of a polyvinylidene fluoride hexafluoropropylene (PVDF‐HFP)/polymethyl methacrylate (PMMA) matrix reinforced with varying concentrations of barium titanate (BaTiO 3 ) nanoparticles (0.5–4 wt%). Using the solution casting method, BaTiO 3 nanoparticles were uniformly dispersed, leading to the exclusive formation of the piezoelectric β‐phase at just 1.5 wt% BaTiO 3 , which significantly enhanced the material's piezoelectric response. Below this concentration, a mixture of β‐ and α‐phases was observed, with the β‐phase content increasing by 60% at 1.5 wt% BaTiO 3 . The incorporation of BaTiO 3 also improved the thermal stability and dielectric properties of the nanocomposites, as demonstrated by detailed frequency‐dependent analyses of the dielectric constant and dielectric loss. This work provides a cost‐effective and scalable approach to designing high‐performance piezoelectric materials for energy harvesting applications, addressing the growing demand for sustainable energy solutions in wearable electronics and self‐powered devices. The enhanced flexibility and superior material properties of these films make them promising candidates for advancing renewable energy technologies.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it