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Record W2118071046 · doi:10.3103/s1068375511040028

Magnetic models of cast amorphous microwires

2011· article· en· W2118071046 on OpenAlexaff
С. А. Баранов

Bibliographic record

VenueSurface Engineering and Applied Electrochemistry · 2011
Typearticle
Languageen
FieldEngineering
TopicMetallic Glasses and Amorphous Alloys
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsAmorphous solidMagnetostrictionCoercivityCondensed matter physicsMaterials scienceHysteresisRelaxation (psychology)Magnitude (astronomy)Amorphous metalMagnetic domainRectangleMagnetic hysteresisDomain wall (magnetism)MagnetizationMagnetic fieldPhysicsChemistryCrystallographyGeometryMathematics

Abstract

fetched live from OpenAlex

A theory of a magnetic domain model for glass-coated amorphous microwires is studied. The obtained theoretical results are confirmed by experiments. Cast glass-coated amorphous microwires with positive magnetostriction have a rectangle hysteresis loop, which is characterized by a coercive-force stable magnitude. The coercive-force magnitude and the fluctuations of this magnitude are of theoretical and practical interest. The theory of the relaxation mechanism of magnetic reversal is constructed. For the more precise comparison of the theory and the experiment, a series of experimental measurements is needed, which are also discussed in the paper.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.148
Teacher spread0.141 · 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 designSimulation or modeling
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

Citations20
Published2011
Admission routes1
Has abstractyes

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