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Record W2048675882 · doi:10.1103/physrevb.76.134413

Dipole-exchange spin waves in ferromagnetic stripes with inhomogeneous magnetization

2007· article· en· W2048675882 on OpenAlexaff
Hoa T. Nguyen, T. M. Nguyen, M. G. Cottam

Bibliographic record

VenuePhysical Review B · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsWestern University
Fundersnot available
KeywordsSpin waveCondensed matter physicsMagnetizationPhysicsPermalloyFerromagnetismDipoleAnisotropyExchange interactionMagnetization dynamicsMagnetic fieldOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

Realistic calculations of linear spin waves in thin ferromagnetic stripes are presented using a microscopic method based on a Hamiltonian approach. The theory, which is applicable to inhomogeneously magnetized samples, incorporates both the exchange and dipole-dipole interactions as well as effects of single-ion anisotropy and an external magnetic field applied either parallel or perpendicular to the stripe axis. This approach does not require the specification of phenomenological boundary conditions to study spin waves in these confined configurations. The Green's function theory is applied to Permalloy and nickel stripes to obtain the frequency, spatial distribution, and spectral intensity of discrete spin-wave modes. Through the spin-wave properties, the effective pinning parameters of the dynamic magnetization at the boundaries of the systems are deduced.

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 score0.958
Threshold uncertainty score1.000

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)0.0010.000

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 head0.010
GPT teacher head0.270
Teacher spread0.261 · 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

Citations37
Published2007
Admission routes1
Has abstractyes

Explore more

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