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Record W1965995452 · doi:10.1103/physrevb.71.094406

Microscopic theory of dipole-exchange spin-wave excitations in ferromagnetic nanowires

2005· article· en· W1965995452 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
KeywordsCondensed matter physicsPhysicsSpin waveFerromagnetismDipoleMagnetizationNanowireHamiltonian (control theory)Exchange interactionSpin polarizationMagnetic dipole–dipole interactionMagnetic fieldQuantum mechanicsElectron

Abstract

fetched live from OpenAlex

A microscopic theory is developed for the spin-wave excitations in ferromagnetic nanowires. Both the long-range magnetic dipole-dipole interactions and the Heisenberg-exchange interactions between nearest neighbors are included in the Hamiltonian, as well as effects of an applied magnetic field, which may be directed parallel or perpendicular to the wire axis. Our formalism can be applied to ferromagnetic nanowires of arbitrary cross section to deduce both the energy spectrum of the discrete dipole-exchange spin-wave modes and the relative intensities as a function of position. The long-range dipole sums in the wire geometry are evaluated numerically and spin-wave calculations are presented for nanowires with approximately circular cross section. When the applied field is perpendicular to the wire axis, there is a canting of the net spin orientation away from the axis, and the magnetization is spatially nonuniform due to the dipolar interactions. We find that typically there are two phases and two distinct regimes of spin-wave behavior, corresponding to the applied field being less than or greater than a critical value.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.999

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)0.0020.000

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 head0.023
GPT teacher head0.297
Teacher spread0.273 · 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 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

Citations48
Published2005
Admission routes2
Has abstractyes

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