Optimization of Electrical contacts for Solution Grown Single Crystal CsPbBr<sub>3</sub> Radiation Detectors
Bibliographic record
Abstract
CsPbBr3radiation detectors are a potential low-cost alternative to the leading room-temperature detector material, Cadmium Zinc Telluride (CZT). However, the leading method for growing CsPbBr3uses expensive starting materials that do not offer major cost reductions compared to other detector materials. This work focuses on optimizing the electrical contacts for CsPbBr3detectors grown from cheaper starting materials of lower purity. In order to grow high purity crystals from lower purity starting material, a modified growth method was used to segregate impurities during growth. The unique growing condition for these crystals necessitates tailored optimization of electrical contacts in order to handle their charge carrier transport behaviour. Asymmetrical devices with a high work function metal contact (Au) and a lower work function metal contact (In) were fabricated in order to have low leakage current under a specific polarity. Pure In contacts have not been extensively studied compared to other metals. The In contacts were not stable when left directly exposed to air, so these contacts were covered with a semitransparent layer of Au (40 nm). Devices made with this configuration were able to resolve the energy spectrum of alpha particles a241Am source. We have yet to resolve gamma radiation with our solution grown detectors, though the Au/In/CsPbBr3/Au configuration has been able to resolve the gamma spectrum of a137Cs source using a detector grown from the more typical pure binaries method. This aim of this work and future work is to continue to reduce the differences in detector performance between our growth method and the standard method.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".