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Record W2887016238 · doi:10.1039/c8mh00763b

Low voltage induced reversible magnetoelectric coupling in Fe<sub>3</sub>O<sub>4</sub> thin films for voltage tunable spintronic devices

2018· article· en· W2887016238 on OpenAlexafffund
Le Zhang, Weixiao Hou, Guohua Dong, Ziyao Zhou, Shishun Zhao, Zhongqiang Hu, Wei Ren, Mingfeng Chen, Ce‐Wen Nan, Jing Ma, Hua Zhou, Wei Chen, Zuo‐Guang Ye, Zhuangde Jiang, Ming Liu

Bibliographic record

VenueMaterials Horizons · 2018
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsBurnaby HospitalSimon Fraser University
FundersOffice of ScienceNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsSpintronicsMaterials scienceCoupling (piping)VoltageThin filmOptoelectronicsCondensed matter physicsNanotechnologyFerromagnetismElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

A giant ME coefficient of 368 Oe V <sup>−1</sup> at 1.5 V with good reversibility can be effectively controlled by IL gating in Fe <sub>3</sub> O <sub>4</sub> , which could be used to design tunable spintronic devices.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.007
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.245
Teacher spread0.230 · 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

Citations23
Published2018
Admission routes2
Has abstractyes

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