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Record W2025986893 · doi:10.1143/jjap.50.028001

Preparation of Highly-Oriented Co<sub>2</sub>MnSi Films on a Non-Single-Crystalline Substrate Using a Titanium–Nitride Buffer Layer

2011· article· en· W2025986893 on OpenAlexfundno aff
Atsushi Sugihara, Yuya Sakuraba, Kay Yakushiji, Shinji Yuasa, Kōki Takanashi

Bibliographic record

VenueJapanese Journal of Applied Physics · 2011
Typearticle
Languageen
FieldMaterials Science
TopicHeusler alloys: electronic and magnetic properties
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaDefence Research and Development Canada
KeywordsMaterials scienceCoercivityBuffer (optical fiber)NitrideLayer (electronics)Titanium nitrideTitaniumSubstrate (aquarium)Iron nitrideMagnetizationAnalytical Chemistry (journal)Composite materialMetallurgyChemistryCondensed matter physicsMagnetic field

Abstract

fetched live from OpenAlex

Highly-oriented titanium–nitride films were prepared on a non-single-crystalline substrate as a buffer layer of a Co 2 MnSi film. Co 2 MnSi films prepared on the titanium–nitride buffer layer showed a high (001)-orientation and at least a B2-ordered phase even for room temperature preparation. The magnetization curve of the Co 2 MnSi film annealed at 600 °C showed an extremely low coercivity of 1.4 Oe in addition to a high saturation magnetization, which indicated no interdiffusion between a Co 2 MnSi layer and a buffer layer. These results indicate that titanium nitride is a potential material for applications based on Co 2 MnSi.

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 score0.004
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.033
GPT teacher head0.252
Teacher spread0.219 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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