Structure of the Magnetic Trilayer System FePdFe Epitaxially Grown on GaAs00146
Bibliographic record
Abstract
The magnetic behaviour of ferromagnetic/non-ferromagnetic/ferromagnetic trilayers is strongly dependent on the nature of the interface between layers, the strain in the layers and the extent of any interdiffusion or reaction between layers and substrate. In this paper, results are presented from a polarization-dependent in situ XAFS study of Fe/Pd/Fe trilayers epitaxially grown on GaAs(001)-(4×6). Fe and Pd K-edge spectra were obtained both above and below the critical angle for total reflection. The structure of iron grown on the Ga-terminated 4×6 reconstructed surface of the GaAs(001) substrate, for thicknesses greater than 6 monolayers, is tetragonally distorted from its natural bcc structure with contracted and expanded lattice constants in the in-plane and out-of-plane directions, respectively. The intermediate Pd layer shows distortion from its natural fcc structure. Alloying at the interface with the underlying Fe is restricted to a depth of 0.5–1.0 monolayers (ML). The upper layer of Fe shows tetragonal distortion similar to the layers of Fe grown on GaAs(001)-4×6. However, the upper distortion is stronger. There is also evidence of alloy formation at the interface involving the underlying Pd with the thickness of the alloy region being 2–2.5 ML.
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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".