Influence of layer thickness and compositional variations on the electrorefractive properties of a quantum well polarization-conversion modulator
Bibliographic record
Abstract
We present our work done towards the development of a quantum well polarization-conversion modulator. This modulator will consist of multiple repetitions of quantum well structures exhibiting large electrorefractive effects. In them, a channel waveguide supporting only the fundamental TE-like and TM-like modes will be subjected to an applied electric field. Changes in this applied field cause the effective refractive index of one of the modes to increase and that of the other to decrease. Using these structures shows that short (∼2–3mm) modulators, with 90° polarization rotation, low chirp (∼±0.1), and low drive electric fields (∼10kV∕cm) can be achieved. In this article, numerical simulations based on the effective-mass envelope-function approximation are used to study the influence of layer thickness and compositional variations on the electrorefractive properties of these quantum well structures.
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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 | 0.000 |
| 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".