Effect of intrinsic defects on the electron mobility of gallium arsenide grown by molecular beam epitaxy and metal organic chemical vapor deposition
Bibliographic record
Abstract
Temperature dependent electron mobility measurements are reported for lightly doped n-type gallium arsenide (GaAs) grown by metal organic chemical vapor deposition (MOCVD GaAs). Using the Brooks–Herring model, the charge state of the impurity scattering centers is deduced to be 1. The same measurements are reported for irradiated MOCVD GaAs, and it is deduced that the charge state of the defects introduced is also 1. These observations are different from previously reported mobility measurements on irradiated gallium arsenide grown by molecular beam epitaxy (MBE GaAs), in which it was deduced that multiply charged scattering centers are introduced by the irradiation. Photoluminescence and deep level transient spectroscopy are used to identify the defects present in the as-grown and in irradiated GaAs. Through the observation of the antisites, it is concluded that the MOCVD GaAs was grown under arsenic rich conditions and the MBE GaAs under gallium rich conditions. Moreover, the gallium vacancy defect (VGa) is observed in irradiated MOCVD GaAs, but not in irradiated MBE samples. The mobility measurements on the MOCVD samples imply that the VGa charge state defect is −1. It is speculated that the arsenic vacancy defect is introduced in irradiated MBE GaAs and its charge state is −2.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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".