Lateral Organic Semiconductor Photodetector. Part I: Use of an Insulating Layer for Low Dark Current
Bibliographic record
Abstract
The thin flexible, lightweight nature of organic semiconductor devices makes them a prime candidate for medical imaging applications such as rugged X-ray imagers for use in hospitals (i.e., immune to minor drops or shocks) or even curved X-ray imagers for specialized imaging modalities of the future (e.g., compression free breast imaging). However, the performance of these organic sensors is not yet comparable with current technology (amorphous silicon) in particular owing to high dark currents. Here we show that the use of an insulator material, such as polystyrene, can dramatically improve the dark current performance of the organic photoconductor without compromising the device speed. Consequently, we are able to operate the sensor under high bias to achieve significant improvements in the critical parameters for image sensors such as photo-to-dark current ratio, sensitivity, dynamic range, and transient speed. Our work has the potential to expedite the adoption of organic semiconductor technology for a variety of digital imaging applications especially in the field of low-cost, portable biomedical equipment.
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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".