Opto-Electrical Modeling of CMOS Buried Quad Junction Photodetector
Bibliographic record
Abstract
A Buried Quad Junction (BQJ) PhotoDetector (PD), composed of four vertically-stacked p-n junctions, has recently been implemented and fabricated in CMOS technology. The detector, providing four different spectral responses, has higher spectral discriminating ability than both conventional Buried Double Junction (BDJ) and Buried Triple Junction (BTJ) detectors. For rapid system design integrating of the BQJ PD, we propose a BQJ SPICE-like model based on the physical properties of the device structure. The analytical expressions of the four BQJ photocurrents have been developed. Dark currents as well as intrinsic noise can also be evaluated by computations. Results have been compared with both TCAD simulations and measurements. Our model shows a good agreement with measurements and the mean relative error on spectral response prediction is between 6 % and 17 % in function of the observed junction.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".