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Record W4386727217 · doi:10.18280/rcma.330407

Enhanced Dielectric Characteristics of Cr2O3 Nanoparticles Doped PVA/PEG for Electrical Applications

2023· article· fr· W4386727217 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevue des composites et des matériaux avancés · 2023
Typearticle
Languagefr
FieldMaterials Science
TopicPolymer Nanocomposite Synthesis and Irradiation
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceDielectricDopingNanoparticlePEG ratioNanotechnologyChemical engineeringOptoelectronicsBusinessEngineering

Abstract

fetched live from OpenAlex

This study examines the dielectric properties of polyvinyl alcohol (PVA)/polyethylene glycol (PEG) doped with chromium oxide (Cr2O3) nanoparticles, with the aim of leveraging these properties in electronic and electric nanodevices.The effect of Cr2O3 nanoparticle concentration on the dielectric constant, dielectric loss, and AC electrical conductivity of the composites was systematically investigated.The results demonstrate that both the dielectric constant and dielectric loss decrease with increasing frequency, but increase with the concentration of Cr2O3 nanoparticles.Conversely, AC electrical conductivity was found to increase with both frequency and Cr2O3 nanoparticle concentration.The enhanced dielectric properties of the PVA/PEG/Cr2O3 nanocomposites make them suitable for various applications in the field of electronics and energy storage.The study provides new insights into the design of materials for electrical and electronics applications.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.049
GPT teacher head0.299
Teacher spread0.251 · 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