Hot photoluminescence in GaN: Carrier energy relaxation and hot phonon effects
Bibliographic record
Abstract
A theoretical study of carrier energy relaxation in wurzite GaN is presented. The analysis is focused on describing phenomena which occur when very energetic electrons and holes are optically injected into the material, as is the case during a hot photoluminescence experiment. Due to the wurtzite symmetry, transverse optical-like phonon modes become active for carrier scattering. Their contribution is analyzed and quantitatively compared to the longitudinal optical (LO) phonon contribution. A pseudoisotropic model of optical phonons in GaN is proposed and is shown to give similar results as the more rigorous anisotropic model. The electron and hole energy relaxation rates are calculated. It is predicted that very energetic carriers should form a discrete distribution, only slightly broadened by carrier–carrier scattering. The conditions for having the electron and hole gases thermalized at the bottom or top of their band are given. Their actual temperature is calculated with or without taking into account hot phonon effects. The LO phonon temperature is calculated and found to be significantly higher than the lattice temperature. Hot phonon effects are important and contribute to equalizing the electron and hole temperatures. The resulting photoluminescence temperature is calculated and compared with experimental data. The agreement with experimental results is improved if hot phonons are included in the calculation.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".