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Electric and Magnetic Properties of Bilayered Lead‐Free Piezoelectric and Multiferroic <scp> <scp>Bi</scp> </scp> <sub>0.9</sub> <scp> <scp>Dy</scp> </scp> <sub>0.1</sub> <scp> <scp>FeO</scp> </scp> <sub>3</sub> / <scp> <scp>K</scp> </scp> <sub>0.5</sub> <scp> <scp>Na</scp> </scp> <sub>0.5</sub> <scp> <scp>NbO</scp> </scp> <sub>3</sub> Thin Films

2012· article· en· W2049227663 on OpenAlexaff
Ling Chen, Wei Ren, Zuo‐Guang Ye, Aifen Tian, Xiaoqing Wu, Peng Shi, Xiaofeng Chen

Bibliographic record

VenueJournal of the American Ceramic Society · 2012
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMaterials scienceCrystallinityFerroelectricityMultiferroicsPulsed laser depositionThin filmPiezoelectricityPiezoelectric coefficientAnalytical Chemistry (journal)Composite materialNuclear magnetic resonanceNanotechnologyOptoelectronicsDielectricChemistry

Abstract

fetched live from OpenAlex

Composite lead‐free piezoelectric and multiferroic thin films consisting of Bi 0.9 Dy 0.1 FeO 3 ( BDF ) and K 0.5 Na 0.5 NbO 3 ( KNN ) nanolayers were prepared on the Pt / TiO 2 / SiO 2 / Si substrates by pulsed laser deposition. The bilayered BDF / KNN films exhibited a preferential (100)‐orientation and much enhanced ferroelectric properties (2 P r = 26.5 μC/cm 2 , 2 E c = 369.2 kV/cm) as compared to those of single layer BDF or KNN thin film. In addition, the bilayered BDF / KNN films also showed ferromagnetic behavior at low temperature (2 M r = 1.57 emu/cm 3 , 2 H c = 3 kOe). The enhanced ferroelectric properties of the bilayered BDF / KNN thin films were attributed to the significantly reduced leakage current arising from the enhanced crystallinity and the interface reaction of the BDF and KNN nanolayers. An effective piezoelectric coefficient d 33 of 12 pm/V was measured on the bilayered films.

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)0.030
metaresearch head score (Gemma)0.121
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity
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 score0.204
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.121
Meta-epidemiology (narrow)0.0250.024
Meta-epidemiology (broad)0.0280.017
Bibliometrics0.0130.030
Science and technology studies0.0140.018
Scholarly communication0.0130.015
Open science0.0270.015
Research integrity0.0160.028
Insufficient payload (model declined to judge)0.0000.005

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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2012
Admission routes1
Has abstractyes

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Same venueJournal of the American Ceramic SocietySame topicMultiferroics and related materialsFrench-language works237,207