Spin wave excitations in Fe/Cu multilayers as a function of its parameters
Bibliographic record
Abstract
Correlation of low-temperature magnetic properties with morphology of (Cu(111)/Fe)×36/Cu multilayers prepared by dc-magnetron sputtering with tCu=38.5 Å, 21.0 Å, and tFe=7.3 Å, 8.5 Å, respectively, was investigated. The primary methods used were Fe57 low-temperature conversion electron Mössbauer spectroscopy (LT–CEMS) from RT down to 50 K and measurements of magnetization from RT down to 5 K. The Fe layers were found to be discontinuous at tFe=7.3 Å, but continuous at tFe=8.5 Å. Transition to the continuity of the Fe layers enhances both in-plane shape and perpendicular surface magnetic anisotropies. This is reflected in the change of the behavior of the temperature dependencies of spontaneous magnetization σs measured with external field oriented parallel and perpendicular to the multilayer plane.
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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 | 0.000 |
| 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 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".