Infrared characterization of GaN and GaN/AlGaN molecular beam epitaxial layers
Bibliographic record
Abstract
An infrared reflection technique has been developed for the characterization of GaN and GaN/AlGaN epitaxial layers and multilayers. The infrared light is brought to the III-nitride surface with a KRS-5 internal reflection crystal. The technique is complimentary to Raman measurements and provides information on the longitudinal and transverse optical (LO) modes of GaN and AlN. For thin GaN layers, the modes of the thin, 22-nm-thick AlN nucleation layer can be clearly observed in the spectra. The free carrier concentration of the GaN can be characterized by analyzing the LO phonon-plasmon coupled mode present in doped samples. Because the light is multiply reflected in the GaN layer, the technique can potentially detect impurities (such as H or C) in the GaN. The application of this technique to characterize high quality molecular beam epitaxial layers is discussed.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".