In-plane structural anisotropy of ultrathin Fe films on<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>GaAs</mml:mi><mml:mo>(</mml:mo><mml:mn>001</mml:mn><mml:mo>)</mml:mo><mml:mtext>−</mml:mtext><mml:mn>4</mml:mn><mml:mo>×</mml:mo><mml:mn>6</mml:mn></mml:mrow></mml:math>: X-ray absorption fine-structure spectroscopy measurements
Bibliographic record
Abstract
Iron films of thickness 2 monolayers (ML) and 5 monolayers prepared on pseudo $4\ifmmode\times\else\texttimes\fi{}6$-reconstructed $\mathrm{GaAs}(001)$ surfaces were studied in situ at the PNC/XOR beamline by polarization-dependent x-ray absorption fine structure methods to investigate structural anisotropy in the plane of the films and compare with theoretical predictions. These two thicknesses are on either side of the transition from island to layer-by-layer growth modes and provide insight into possible structural origins of in-plane uniaxial magnetic anisotropy observed in this magnetic film system. First-principles calculations by [Mirbt et al., Phys. Rev. B 67, 155421 (2003)] have suggested a splitting in the nearest neighbor distances of the iron could be as large as $0.06\phantom{\rule{0.3em}{0ex}}\mathrm{\AA{}}$, for 1 ML of arsenic having migrated to the film surface, distorting the structure slightly from body-centered tetragonal along the $⟨110⟩$ and $⟨\ensuremath{-}110⟩$ directions. We observe a splitting of approximately $0.02(1)\phantom{\rule{0.3em}{0ex}}\mathrm{\AA{}}$ at 2 ML in the nearest-neighbor distances. An electronic anisotropy was detected at 2 ML that could correspond to differences in bonding between gallium and arsenic dangling bonds. An anisotropy in mean-square relative displacement was apparent for the 5 ML film, though no difference in nearest-neighbor distances was observed beyond error.
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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".