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Record W2602878105 · doi:10.1039/c7tc00512a

Tunable magnetic pole inversion in multiferroic BiFeO<sub>3</sub>–DyFeO<sub>3</sub> solid solution

2017· article· en· W2602878105 on OpenAlexaff
Jiangtao Wu, Zuzhen Liao, Ting Sun, Lun-Wei Su, Jian Bi, Guangyin Fan, Daojiang Gao, Zhaoxiong Xie, Zuo‐Guang Ye

Bibliographic record

VenueJournal of Materials Chemistry C · 2017
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsBurnaby HospitalSimon Fraser University
FundersNational Natural Science Foundation of China
KeywordsMultiferroicsSolid solutionMaterials scienceIonInversion (geology)Condensed matter physicsNuclear magnetic resonanceFerroelectricityPhysicsOptoelectronics

Abstract

fetched live from OpenAlex

We report an unusual magnetic pole inversion behaviour in multiferroic BiFeO <sub>3</sub> – <italic>x</italic> DyFeO <sub>3</sub> solid solution, which can be tuned by varying the concentration of the magnetic ion Dy in the solid solution. It is found that the temperature-induced magnetic pole inversion occurs in a wide composition range ( <italic>x</italic> = 0.14–0.90). Moreover, multiple magnetic pole inversions are observed in the solid solution compounds of high Dy-concentrations.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.248
Teacher spread0.233 · 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.

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

Citations15
Published2017
Admission routes1
Has abstractyes

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