Revisiting Impurity Doping of III-Nitride Materials for Photonic Device Applications
Bibliographic record
Abstract
More than 20 years have passed since the first reports of rare earth doping silicon and other semiconductor materials for photonic applications. The basic goal of this work has been to achieve optoelectronic functionality in silicon integrated circuits for telecommunications. Over this period of time, many novel approaches and various materials have been investigated. While progress has been sporadic and the basic goal illusive, impurity doping of III-Nitride materials has provided some of the major advances. In this talk I will present a review of recent results concerning rare earth doping of III-Nitride thin films for telecommunication and display applications. In particular, the optical characterization of such films and the performance of prototype light emitting diodes will be reviewed. Reports on the ferromagnetic properties of impurity doped III-Nitride films and the possibility of achieving optical or electrical control.
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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 | 0.000 |
| 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) | 0.002 | 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".