Experimental investigation of the variation of the absorption coefficient with nitrogen content in GaAsN and GaInAsN grown on GaAs (001)
Bibliographic record
Abstract
We have measured the absorption coefficient at the fundamental band edge in Ga1−yInyAs1−xNx and GaAs1−xNx alloys. In contrast to what is observed in most III-V semiconductors, the absorption coefficient of Ga(In)AsN increases when the band gap energy decreases. In the Ga1−yInyAs1−xNx alloys, the absorption coefficient at threshold saturates near x=0.009, whereas the absorption coefficient of the GaAs1−xNx layers shows no sign of saturation for 0<x<0.016. Furthermore, the value of the absorption coefficient at threshold is higher for Ga1−yInyAs1−xNx layers than for indium-free GaAs1−xN films with the same nitrogen content, a result opposite to what is observed for the nitrogen-free GaInAs alloy. The comparison of our results with calculations performed using the k⋅p formalism suggests that the proper description of the optical properties of Ga(In)AsN alloys must go beyond the effective mass approximation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".