Ferromagnetic resonance and spin momentum exchange in crystalline magnetic ultrathin films in noncollinear configuration
Bibliographic record
Abstract
Au ∕ Fe ∕ Au ∕ Fe ∕ Ga As ( 001 ) ultrathin film structures were grown by molecular beam epitaxy on 4×6 reconstructed GaAs(001) substrates. Measurements were carried out using a network microwave analyzer in the range of frequencies from 1to12GHz allowing one to determine both the in-phase and out-of-phase components of the rf magnetic susceptibility. The ferromagnetic resonance (FMR) results indicate that the ultrathin Fe films are of high crystalline quality. The bottom Fe film [Au∕Fe∕GaAs(001)] has its magnetic hard axis along the [1−10] direction due to a strong in-plane uniaxial interface anisotropy. This leads to a unique behavior of the FMR in noncollinear configuration. Beside the 2 two FMR peaks expected an additional FMR peak was observed in a narrow microwave frequency range. This peak can be explained as a “ghost resonance” which was driven purely by magnetic losses. The FMR linewidth is mostly given by the bulk intrinsic Gilbert damping and spin pumping, and is only weakly affected by small local variations of the internal anisotropy fields. An accidental crossover of the collinear FMR branch of the top Fe layer (Au∕Fe∕Au) with the noncollinear branch of the bottom (Au∕Fe∕GaAs) layer was used to investigate nonlocal spin pumping and spin sink effects in a noncollinear configuration of magnetic moments.
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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) | 0.001 | 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".