Modal oscillation control in internally patterned<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Ni</mml:mi></mml:mrow><mml:mrow><mml:mn>80</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Fe</mml:mi></mml:mrow><mml:mrow><mml:mn>20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>thin film microstructures
Bibliographic record
Abstract
The broadband magnetization dynamics (MD) of lithographic, polycrystalline thin film ferromagnetic ${\mathrm{Ni}}_{80}{\mathrm{Fe}}_{20}$ elements is studied experimentally using time-resolved scanning Kerr microscopy and numerically via micromagnetic simulation. The spatiotemporal evolution of the polar component of magnetization in response to a small out-of-plane transient magnetic pulse is imaged in the presence of a weak in-plane static bias field. In a uniform square platelet the spatial response is strongly controlled by the nonuniform static magnetization distribution associated with the closure domains transverse to the bias field direction. A circular pinhole is patterned in the center of a square platelet to show that the spatial pattern of magnetization oscillation response also depends sensitively on weaker variations of the static magnetization. The Landau Lifshitz Gilbert model reproduces the observed modal oscillation symmetry and reveals in detail that the observation of spatially nonuniform damping in the experiment is a result of conversion of energy into shorter wavelength modes in the vicinity of the domain boundaries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".