Photonic breakdown in up-conversion imaging devices based on the integration of quantum-well infrared photodetector and light-emitting diode
Bibliographic record
Abstract
We analyze the effect of photon recycling on up-conversion in a heterostructure device including a quantum well infrared photodetector (QWIP) integrated with a light emitting diode (LED). Such a QWIP-LED device converts middle infrared radiation into near infrared (NIR) or visible radiation (VIR) utilizing intersubband transitions in the QWIP and interband transitions in the LED. We show that the reabsorption of NIR/VIR photons in the QWIP can substantially affect the up-conversion of both uniform illuminations and infrared images. As demonstrated, this effect can cause a photonic breakdown associated with a positive feedback between the emission of NIR/VIR photons from the LED and the resulting photocurrent in the QWIP.
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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) | 0.000 | 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".