Self-assembled Gd silicide nanostructures grown on Si(001)
Bibliographic record
Abstract
The growth of self-assembled gadolinium silicide nanostructures on Si(001) was studied over a range of metal coverages and growth temperatures. Scanned probe microscopy was used to study the nanostructure morphology. The analyses of cross-sectional transmission electron microscopy images, plan view transmission electron microscopy moiré fringe patterns, and nanobeam electron diffraction patterns show that the Gd silicide nanostructures fall into two classes: elongated nanowires with hexagonal crystal structure and rectangular islands with orthorhombic (or tetragonal) crystal structure. These results indicate that the nanostructure morphology is controlled by the magnitude and direction of the lattice mismatch with respect to the substrate. Optimum growth conditions for preferential growth of either nanowires or islands are described. In addition, the phase transformation from hexagonal to the more stable orthorhombic (or tetragonal) phase is observed and discussed.
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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) | 0.000 | 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".