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Record W2332606962 · doi:10.1103/physrevb.89.104106

Atomic structure and microstructures of supertetragonal multiferroic<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>BiFeO</mml:mtext><mml:mn>3</mml:mn></mml:msub></mml:math>thin films

2014· article· lv· W2332606962 on OpenAlexafffund
F. Pailloux, Martin Couillard, S. Fusil, F. Y. Bruno, Wissam A. Saidi, Vincent Garcia, C. Carrétéro, Eric Jacquet, Manuel Bibès, A. Barthélémy, Gianluigi A. Botton, J. Pacaud

Bibliographic record

VenuePhysical Review B · 2014
Typearticle
Languagelv
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsNational Research Council CanadaMcMaster UniversityBrockhouse Institute for Materials Research
FundersNatural Sciences and Engineering Research Council of CanadaAgence Nationale de la RechercheMcMaster University
KeywordsTetragonal crystal systemMaterials scienceMultiferroicsCrystallographyPhase (matter)Ab initioAb initio quantum chemistry methodsCondensed matter physicsPhysicsCrystal structureFerroelectricityChemistryDielectricQuantum mechanics

Abstract

fetched live from OpenAlex

We revisit the atomic structure and microstructure of the so-called supertetragonal phases of highly strained epitaxial ${\text{BiFeO}}_{3}$ thin films. Quantitative atomic resolution scanning transmission electron microscopy is used to directly image the atomic positions. A crystallographic phase suggested by electron diffraction and predicted by ab initio calculations is evidenced. Microtwins are reported in thickest films. Electron energy loss spectroscopy is further employed to reveal subtle electronic structure features, which, interpreted in a framework of antiferrodistortive distortions coupling with the substrate, point towards a phase closer to the $P$4mm purely tetragonal phase.

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 score0.004
Threshold uncertainty score0.007

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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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

Citations37
Published2014
Admission routes2
Has abstractyes

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Same venuePhysical Review BSame topicMultiferroics and related materialsFrench-language works237,207