Optical and structural characterization of blue-emitting Mg2+- and Zn2+-doped GaN nanoparticles
Bibliographic record
Abstract
We show blue photoluminescence (∼425 nm) from both Mg2+- and Zn2+-doped GaN nanoparticles. The effect of the doping concentration of these ions on the structural and optical properties was systematically studied using X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDX), photoluminescence (PL) and Raman spectroscopy. Starting from nitrate salts of gallium, zinc and magnesium we observed the formation of Mg2+- and Zn2+-doped Ga2O3 accompanied by Ga2O3. During the thermal cycle for the formation of GaN some of the zinc evaporates because of its relatively low boiling point. The PL intensity is proportional to the final concentration of the dopant ion in the final product and a weaker band is observable at a higher energy corresponding to the undoped GaN. Raman spectroscopic analysis confirms the distortion of the GaN lattice due to the incorporation of Mg2+ and Zn2+.
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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".