Interpixel Passivation of CZT Detectors via ALD-Deposited $\mathbf{Al}_{2} \mathbf{O}_{3}$
Bibliographic record
Abstract
This work presents the fabrication and interpixel passivation of CdZnTe (CZT) detectors using a 10 nm -thin layer of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{Al}_{2} \mathrm{O}_{3}$</tex> deposited at a substrate temperature of 250° C via atomic layer deposition (ALD). The CZT samples, prepared using chemical-mechanical polishing, exhibit a relatively smoother surface but contain uniformly distributed Te-inclusions, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$10-15 \mu ~\mathrm{m}$</tex> in size, as confirmed using infrared imaging. Two device configurations were developed: metalsemiconductor (MS) and metal-insulator-semiconductor (MIS), both of which were passivated with the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{Al}_{2} \mathrm{O}_{3}$</tex> layer. The devices demonstrate uniform dark current across various pixel pairs and show nearly an order of magnitude reduction in surface leakage current in interpixel measurements after passivation, in both MS and MIS structures, compared to unpassivated MS devices. This study demonstrates that effective passivation of CZT detectors is achievable at substrate temperatures above 150° C, while also significantly reducing dark current.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 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".