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Record W2002083276 · doi:10.1080/00150193.2010.492058

Structural, Dielectric and Ferroelectric Properties of Ti-Modified 0.72BiFeO<sub>3</sub>–0.28PbTiO<sub>3</sub>Multiferroic Thin Films Prepared by Pulsed Laser Deposition

2010· article· en· W2002083276 on OpenAlexafffund
Ling Chen, Wei Ren, Weimin Zhu, Zuo‐Guang Ye, Peng Shi, Xiaofeng Chen, Xiaoqing Wu, Xi Yao

Bibliographic record

VenueFerroelectrics · 2010
Typearticle
Languageen
FieldMaterials Science
TopicFerroelectric and Piezoelectric Materials
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMaterials sciencePulsed laser depositionThin filmFerroelectricityDielectricMultiferroicsTetragonal crystal systemMicrostructureOxygenSubstrate (aquarium)Analytical Chemistry (journal)Deposition (geology)Reducing atmosphereComposite materialOptoelectronicsNanotechnologyCrystal structureCrystallographyMetallurgy

Abstract

fetched live from OpenAlex

Ti-modified 0.72BiFeO3–0.28PbTiO3 thin films were prepared on Pt/Ti/SiO2/Si substrates by pulsed laser deposition under different oxygen pressures from 2 Pa to 15 Pa. The microstructures and electrical properties were investigated. Tetragonal (001) preferential orientation was observed in all films under different oxygen atmosphere pressures. The electrical properties of the thin films have been investigated for various deposition conditions. The dielectric constant and double remanent polarization were found to be 550 and 80 μC/cm2, respectively, for the thin film deposited at an oxygen atmosphere of 10 Pa and a substrate temperature of 680°C.

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 head0.012
GPT teacher head0.213
Teacher spread0.200 · 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

Citations4
Published2010
Admission routes2
Has abstractyes

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