Exploring the Impacts of Zone Refining on the Purification and Optical Band Gap of CsPbBr<sub>3</sub> Crystals for Radiation Detection
Bibliographic record
Abstract
Multiple cesium lead bromide (CsPbBr3) crystal ingots were produced through synthesis, purification, and zone refining under consistent experimental conditions. The crystals, measuring 15 mm$\times 25$mm$\times 235$mm with a mass of 200 g, exhibited a gradient from a transparent, pure tip to a darker, impurity-rich heel. Phase analysis of the synthesized powders and the bulk crystals after zone refining confirmed a pure orthorhombic CsPbBr3 structure. Comparative materials characterization using Scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM/EDX) revealed a reduction in predominant carbon (C) impurity from 11% to 12% in the heels to below 5% in the tips by weight, along with trace amounts of iron (Fe) and silicon (Si). Optical band gap measurements on the ingots with varying crystal quality and impurity content identified a stable average band gap of 2.30 eV via UV-Vis reflectance spectroscopy, closely aligning with theoretical values. The results suggest that band gap energies remain unaffected by variations in carbon impurity levels or crystal quality, underscoring the robustness of CsPbBr3 crystals under the studied conditions. This study demonstrates the potential of the optimized zone refining technique in producing high-purity CsPbBr3 crystals for radiation detection applications.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".