Spin-wave excitations in arrays of asymmetric ferromagnetic nanorings
Bibliographic record
Abstract
Calculations are reported for the spin-wave excitations in asymmetric ferromagnetic nanorings using a Hamiltonian-based formalism. Both the exchange and dipole-dipole interactions are included, as well as an external magnetic field and single-ion anisotropy. The equilibrium configurations of the nanorings are found by minimizing numerically the energy functional with respect to the spin orientation. Depending on the geometry, particularly the degree of asymmetry and the in-plane applied magnetic field, the nanorings can be in a vortex, onion, or other inhomogeneous state. Spin-dependent Green’s functions are calculated to deduce the dispersion spectra and the mode profiles of the spin waves, and the dependence of the spin-wave properties on the asymmetry factor is studied. The effects of inter-ring dipolar coupling on the spin-wave spectrum are also investigated by considering small arrays (e.g., a 3×3 square array) of nanorings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".