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Record W2016017049 · doi:10.1063/1.2166593

Microscopic theory of spin-wave excitations in ferromagnetic nanorings

2006· article· en· W2016017049 on OpenAlexaff
T. M. Nguyen, M. G. Cottam

Bibliographic record

VenueJournal of Applied Physics · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsWestern University
Fundersnot available
KeywordsCondensed matter physicsSpin waveFerromagnetismAnisotropyPhysicsDipoleVortexMagnetic fieldMicroscopic theoryHamiltonian (control theory)Exchange interactionQuantum mechanics

Abstract

fetched live from OpenAlex

A microscopic theory is developed for the spin-wave excitations in ferromagnetic nanorings where the physical dimensions (inner and outer diameters and height) may be of the same order. Both the dipole-dipole and the exchange interactions are included in the Hamiltonian, together with single-ion anisotropy terms and an external magnetic field assumed to be applied either parallel or perpendicular to the ring axis. The equilibrium configurations of the systems are obtained by minimizing numerically the energy functional with respect to the spin orientations. The nanorings can be in bottleneck, twisted, bidomain, or vortex types of configuration. A Green’s function method is employed to calculate the dispersion spectra and other spin-wave properties. Applications to real systems, such as nickel nanorings, are made by choosing the parameters appropriately.

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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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

Citations9
Published2006
Admission routes1
Has abstractyes

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