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Record W4289260192 · doi:10.1051/epjap/2022220110

Improving dielectric properties of composites thin films with polylactic acid and PZT microparticles induced by interfacial polarization

2022· article· en· W4289260192 on OpenAlexaff
El Mahdi Bouiri, Rida Farhan, Nabil Chakhchaoui, Khadija Oumghar, Cenk Denktaş, Adil Eddiai, Mounir Meddad, M’hammed Mazroui, Omar Cherkaοui, L.H. Omari

Bibliographic record

VenueThe European Physical Journal Applied Physics · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials scienceThermogravimetric analysisComposite materialPolylactic acidDielectricLead zirconate titanateFourier transform infrared spectroscopyScanning electron microscopePolymerThermal stabilityFerroelectricityChemical engineering

Abstract

fetched live from OpenAlex

Although polylactic acid (PLA) is widely identified as a biodegradable polymer, its use is limited due to the inherently poor mechanical properties. Therefore, the strengthening of PLA with microscale particles like lead zirconate titanate (PZT) is a promising field of research that has only just begun to be explored. Piezoelectric polymer-PZT films are encouraging materials for modern technological applications in energy harvesting. The PLA/PZT composites were developed using the solvent casting technique. The mechanical characteristics and dielectric properties of the considered films were investigated. X-ray Diffraction (XRD), Fourier Transform Infrared (FTIR), Spectroscopy and Scanning Electron Microscopy (SEM) were used, respectively, to examine the influence of these fillers at the molecular level, crystal structure change and micro charges dispersion inside the polymer matrix. Thermogravimetric Analysis (TGA) was used to examine the stability and thermal degradation of the films. The effect of the content (0.1–1 wt.%) of PZT on these properties has also been studied. The results indicate that the addition of PZT content induces considerable improvement in the β-phase and dielectric constant of microcomposites films compared to that of pure PLA.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.180
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2022
Admission routes1
Has abstractyes

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