Optimizing the design parameters of adhesively bonded assemblies to enhance reliability and performance of the CZT detectors
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Bibliographic record
Abstract
We utilize a stress analysis model for thermo-elastic problem in CZT adhesively bonded assemblies. We infer from experimental results that thermal induced stresses, strains, and displacements in the adhesive layer often are the root cause of distorted or shifted spectra. Our hypothesis is that, stress may change local electric field and charge transport properties of the region at vicinity of the pixel. It is assumed that the adhesive layer which consists of a large number of pieces with different Young's moduli, Poisson's ratio, sizes, and coefficients of thermal expansion is cured at elevated temperature and lowered to room temperature. Our analytical and experimental results indicate that, curing temperature, length to thickness ratio for adhesive pieces, and Young's moduli are key considerations in reducing the thermal stress on the assemblies.
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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 it