Solar blind UV photodiodes with 100% internal quantum efficiency based on silicon direct band gap
Bibliographic record
Abstract
5 mm diameter silicon photodiodes having 30-50 nm electrically active thicknesses were fabricated on silicon-on insulator (SOI) wafers to realize solar blind UV photodiodes (UVTN). Their responsivity measurements in the 200-1100 nm range indicated that responsivities drop sharply after 350 nm. Silicon direct bandgap is 3.5 eV which corresponds to 354 nm. Thus, these devices act as wide band gap semiconductor photodiodes like SiC, GaN, AlGaN, diamond etc. UV/VUV/EUV filters can be directly deposited on UVTN detectors to limit their response to specific wavelengths. Four filtered UVTN photometers devoid of chronic red leak and associated electronics will fit in a 1 U CubeSat which can be used to make solar UV/VUV/EUV spectral measurements. Because of their minuscule silicon thickness, UVTN detectors will have low responsivity to x-rays and other space radiation and also will be very hard to space radiation. Thus, these devices are expected to survive in the deep space environment for several decades for applications like water detection (165 nm strong reflection) on small bodies as desired by NASA’s Small Bodies Assessment Group. As the solar blind material is silicon which is high volume manufacturing compatible, this is a disruptive technology development and will have numerous application in space research. For example, one may use UVTN pixels in an imaging array to get a true solar blind (no red leak) UV/VUV/EUV imager with 100% IQE.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".