Effects of bridge pattern on performance of YBaCuO microbolometers
Bibliographic record
Abstract
The effects of bridge pattern on the performance of YBaCuO microbolometers were investigated. For this purpose, Si3N4 bridges with grids and hinges of varying width were created on Si wafers by means of bulk Si micromachining. Semiconducting YBaCuO films were sputter-deposited onto the bridges to form resistive bolometers. In reducing the width of the hinges from 10 to 5 μm, one can enhance the bolometric responsivity by approximately two times at room temperature. Further, a factor of enhancement of as large as three could be achieved on bridges with a grid pattern. The grid pattern also modified the spectral absorbance of the bridges. The enhancement of experimental responsivity was shown to be consistent with the one predicted from changes in thermal conductance, electrical resistance, and optical absorbance of the bolometers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".