Segregation and formation of MnP particles during rapid thermal annealing of Mn-implanted InP and GaP
Bibliographic record
Abstract
We have studied the structural and magnetic properties of Mn implanted (1–5×1016 cm−2, 200 keV) into InP and GaP substrates, before and after rapid thermal annealing. As revealed by Rutherford backscattering spectrometry, secondary ion mass spectrometry, and transmission electron microscopy measurements, implantation results in an amorphous surface layer 300 nm deep, and subsequent annealing gives rise to epitaxial recrystallization of this layer accompanied by a segregation of most of the Mn into clusters about 60 nm in diameter at the surface. Magnetic measurements indicate ferromagnetic behavior only for the annealed samples with TC close to 290 K, characteristic of bulk MnP, whose presence is confirmed by diffraction data. In addition, there is no evident dependence of the magnetic and structural properties on the doping type or level of the substrates.
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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".