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Record W2039224329 · doi:10.1063/1.3514591

Microstructure and ferroic properties of epitaxial [γ-Fe2O3–BiFeO3]−Bi3.25La0.75Ti3O12 composite bilayers

2010· article· en· W2039224329 on OpenAlexafffund
O. Gautreau, Cătălin Harnagea, L. Gunawan, G. A. Botton, L. Pintilie, Maninder Singh, A. Pignolet

Bibliographic record

VenueJournal of Applied Physics · 2010
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsRegroupement Québécois sur les Matériaux de PointeUniversité de SherbrookeBrockhouse Institute for Materials ResearchMcMaster UniversityInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster University
KeywordsMaterials scienceFerroelectricityMicrostructureBilayerMultiferroicsFerrimagnetismEpitaxyComposite materialComposite numberLayer (electronics)Condensed matter physicsMagnetizationMagnetic fieldMembraneOptoelectronicsDielectricChemistry

Abstract

fetched live from OpenAlex

Epitaxial [γ-Fe2O3–BiFeO3]/Bi3.25La0.75Ti3O12 and Bi3.25La0.75Ti3O12/[γ-Fe2O3–BiFeO3] composite bilayers were grown on SrRuO3 coated (111) SrTiO3 substrates in order to investigate the influence of the morphology of the γ-Fe2O3–BiFeO3 self assembled nanocomposite layer on the multiferroic properties of the bilayer. Both types of bilayers exhibit high resistivity and simultaneously ferroelectricity and ferrimagnetism at room temperature. When the γ-Fe2O3–BiFeO3 composite layer is sandwiched between the Bi3.25La0.75Ti3O12 film and the substrate, the BiFeO3 component is not only subjected to epitaxial strain induced by the surface on top of which it grows but also to elastic interactions with the Bi3.25La0.75Ti3O12 capping layer. The latter indeed reduce the amount of γ-Fe2O3 inclusions, affects the morphology of the grains in the γ-Fe2O3–BiFeO3 layer, and increases the shape anisotropy of the γ-Fe2O3 inclusions. Additionally, this modification in the microstructure of the γ-Fe2O3–BiFeO3 layer induces an imprint in the ferroelectric hysteresis loop as well as a decrease in the saturation magnetization, and its magnetic easy axis direction changes from in-plane to out-of plane.

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 score0.003
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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

Citations4
Published2010
Admission routes2
Has abstractyes

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