Erbium-doped Si<sub>1-<i>x</i></sub>Ge<sub><i>x</i></sub>/Si structures for light emitting diodes
Bibliographic record
Abstract
LEDs have been fabricated from erbium-doped Si and Si 1- x Ge x quantum wells, and exhibit radiation at 1.54 µm when operated in forward bias. The strained Si 1- x Ge x /Si quantum wells were doped with erbium, either by implantation or during MBE growth, for two germanium fractions, 13% and 25% respectively, and their quality was monitored by transmission electron microscopy. PL measurements as a function of temperature exhibit a dependence of the high temperature signal quenching on the germanium fraction. The forward-bias EL and PL from the Er:Si 1- x Ge x , exhibit different emission energies irrespective of whether the samples are ion implanted or doped during MBE growth. The energy changes are attributed to confinement of injected holes in the electroluminescence measurement by the quantum wells, and subsequent excitation of a different set of Er atoms which may be in the Si 1- x Ge x host. Electric field effects have been eliminated by performing the EL and PL under identical conditions. This is very encouraging for the potential use of SiGe waveguides in future injection-type silicon-based LEDs.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".