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Record W4226265733 · doi:10.29169/1927-5129.2022.18.06

Structural and Dielectric Properties of Ba-Doped BNT Ceramics

2022· article· en· W4226265733 on OpenAlexvenueno aff
Khushboo Thapa, Priyanka Thankur, Navdeep Sharma, Sanjeev Sharma, Asad Ali, Abid Zaman, Madan Lal

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2022
Typearticle
Languageen
FieldMaterials Science
TopicFerroelectric and Piezoelectric Materials
Canadian institutionsnot available
Fundersnot available
KeywordsDielectricCeramicMaterials scienceTetragonal crystal systemAnalytical Chemistry (journal)DopingScanning electron microscopePhase boundaryPhase (matter)DiffractionMineralogyOpticsChemistryComposite materialPhysics

Abstract

fetched live from OpenAlex

In this study, lead-free Ba-doped ((Bi(0.5)Na0.5)TiO3 ceramics were synthesized by the conventional solid-state reaction method and characterized by X-ray diffraction technique, which indicates the pure crystalline nature of ceramics with ABO3 symmetry. The splitting in the peaks reveals that the ceramics with x = 0.10 and 0.30 are well in Morphotrophic Phase Boundary where rhombohedral and tetragonal phases co-exist. The scanning electron microscope images show that the average grain size of the ceramics increases with an increase in the Ba concentration. Dielectric properties of pure and Ba-doped ((Bi(0.5)Na0.5)TiO3ceramics measured by LCR meter in the frequency range of 1 k Hz – 1 M Hz shows the decrease in the value of dielectric constant with an increase in frequency. εmax = 5563 was obtained at x = 0.30 with TC = 300 °C at the frequency of 1 k Hz, whereas σ (f) curves were found to be merging at a high value of frequency and temperature regions.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.024
GPT teacher head0.229
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2022
Admission routes1
Has abstractyes

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