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Record W1977536757 · doi:10.1103/physrevb.72.224415

Spectral intensities and frequencies of spin waves in ferromagnetic cylinders: Application to nickel nanowires

2005· article· en· W1977536757 on OpenAlexafffund
T. M. Nguyen, M. G. Cottam

Bibliographic record

VenuePhysical Review B · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpin waveCondensed matter physicsNanowireMagnetizationBrillouin zoneAnisotropyMagnetic fieldFerromagnetismPhysicsDipoleSpin polarizationMaterials scienceOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

The theory for dipole-exchange spin waves in cylindrical ferromagnetic nanowires, as developed in a previous paper, is extended to include spectral intensities, arbitrary orientation of external magnetic field, and effects of single-ion anisotropy. This allows applications to be made to the nickel nanowires studied experimentally. The dependences of the spin-wave frequencies on the nanowire radius, wave vector, and magnetic field are investigated, and the spatial distribution of the eigenmodes are evaluated to analyze their localization. The spectral intensities are calculated within a Green's function formalism, giving a good insight into data from Brillouin light scattering. The spin-wave frequencies obtained in the case of zero field are compared to the experimental results for nickel, and to results deduced from macroscopic theory under conditions of small surface pinning. Also when the magnetic field is perpendicular to the wire axis, making the magnetization nonuniform, our results provide a good description of the experimental behavior.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.453

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 head0.014
GPT teacher head0.276
Teacher spread0.262 · 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 designOther design
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

Citations32
Published2005
Admission routes2
Has abstractyes

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