1.5-μm optical up-conversion: wafer fusion and related issues
Bibliographic record
Abstract
Imaging devices working in the near infrared (NIR), especially in the so-called eye-safe range, i.e., around 1.5 mm, have become increasingly important in many military and commercial applications; these include night vision, covert surveillance, range finding and semiconductor wafer inspection. We proposed a new approach in which a wafer-fused optical up-converter, combined with a commercially available charged coupled device (CCD), functions as an infrared camera. The optical up-converter converts incoming infrared light into shorter wavelength radiation that can be efficiently detected by the silicon CCD (cutoff wavelength about 1 mm). An optical up-converter with high efficiency at room-temperature is critical for low cost and large-area infrared imaging applications. A prototype 1.5 mm optical up-converter based on wafer fusion technology has been successfully fabricated. The device consists of an InGaAs/InP pin photodetector and a GaAs/AlGaAs light emitting diode. Experimental results show that the end-to-end up-conversion efficiency is 0.0177 W/W at room-temperature, corresponding to an internal quantum up-conversion efficiency of 76%. In this paper, the design, fabrications and characterization of the optical up-conversion devices is presented. Issues related to device optimization, such as improving internal and external up-conversion efficiency, are addressed. Preliminary results demonstrate the room-temperature up-conversion imaging operation of a pixelated wafer-fused device.
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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 | 0.001 | 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".