Effect of substrate orientation on the optical properties of InGaAsN(P) quantum wells
Bibliographic record
Abstract
This study examines the effect of substrate orientation on the optical properties of InGaAsN(P) quantum wells using an eight-band k · p Hamiltonian extended to account for strain effects in arbitrary orientations. Numerical simulations were performed for key substrate orientations, including (001), (110), (111), and (112), with particular focus on the impact of strain-induced piezoelectric fields on band alignment and wavefunction localization. The results reveal substantial differences in the band structure, wavefunctions, absorption coefficients, and material gain across the studied orientations. The (111) orientation exhibits the strongest piezoelectric fields, leading to enhanced confinement and the formation of additional bound states in the conduction band. Band structure analysis indicates significant strain-induced variations in the bandgap and energy levels, particularly in non-(001) orientations. In addition, the absorption coefficient strongly depends on the substrate orientation. The (111) and (001) orientations exhibit the highest absorption coefficient values, making them strong candidates for solar cell applications. Other orientations may be more suitable for laser applications due to their high material gain values.
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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 | 0.001 | 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".