Quasiperiodic spin waves in bi-component magnonic crystal arrays of nanowires
Bibliographic record
Abstract
Abstract A theoretical analysis is given for the compositional effects of quasiperiodicity on the dipole-exchange spin waves (SWs) in bi-component magnonic arrays. The investigations are applied to lateral arrays of ferromagnetic nanowire stripes of cobalt and permalloy as the two building blocks, separated by nonmagnetic spacers. The growth rule applied to the building blocks is taken to be in accordance with either the Fibonacci or Thue–Morse quasiperiodic sequence, which provide contrasting results for the spin-wave properties. The spectra of the spin-wave bandgaps and allowed bands for the bicomponent arrays are calculated up to high generation numbers of the quasiperiodic sequences using a Hamiltonian-based microscopic method. The fractal-like scaling properties of the SWs in these structures are studied as a function of wave vector, which affects the relative importance of the dipolar and exchange terms in the two magnetic materials. Comparisons are made for the density of spin-wave states for the quasiperiodic structures with those for periodic and random lateral arrays, showing that the quasiperiodic arrays have distinctive characteristics.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".