UV-laser-based process for quantum well intermixing of III-V heterostructures
Bibliographic record
Abstract
The influence of surface irradiation of GaAs with a KrF excimer laser on the magnitude of a quantum well (QW) intermixing effect has been investigated in GaAs/AlGaAs QW heterostructures. The irradiation was carried out in an atmospheric environment with laser pulses of fluence between 60 and 90 mJ/cm<sup>2</sup>. Following the irradiation, the samples were annealed in a rapid thermal annealing furnace at temperatures ranging from 850 to 925°C. Compared with non-irradiated samples, a strong suppression of the bandgap shift has been observed in all laser irradiated samples. The suppression increased from 5 to 22 nm for samples irradiated with 88 mJ/cm<sup>2</sup> pulses and annealed at 850 and 900°C, respectively. This increased thermal stability of excimer laser irradiated samples indicates the potential for developing a process for selective area bandgap engineering of large area GaAs/AlGaAs QW wafers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".