Magnetization Dynamics in Vortex-Imprinted Ni<formula formulatype="inline"><tex Notation="TeX">$_{80}$</tex></formula> Fe<formula formulatype="inline"><tex Notation="TeX">$_{20}$</tex></formula>/Ir<formula formulatype="inline"><tex Notation="TeX">$_{20}$</tex></formula>Mn<formula formulatype="inline"><tex Notation="TeX">$_{80}$</tex></formula> Square Elements
Bibliographic record
Abstract
The dynamic behavior of the vortex magnetization on micrometer-sized, ferromagnetic/antiferromagnetic (FM/AFM) bilayer exchange-coupled square elements is investigated using time-resolved Kerr effect microscopy and micromagnetic modeling.$10 \mu$m$\times 10 \mu$m square elements consisting of Ni$_{80}$Fe$_{20}$/Ir$_{20}$Mn$_{80}$bilayers were prepared and subsequently field cooled at various field strengths$H_{\rm cf}$, resulting in different exchange-bias field$H_{\rm ex}$profiles at the FM/AFM interface. With the presence of the$H_{\rm ex}$, the vortex core is displaced from the center of the square and consequently the fourfold symmetry of the Landau vortex state breaks. The spin-wave eigenmode excited upon application of a magnetic field pulse is strongly dependent on the level of the displacement of the vortex configuration, in which the mode frequency decreases for the growing domain, whereas it increases for the shrinking domain.
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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) | 0.005 | 0.001 |
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".