Bioinspired, uncooled chitin photomechanical sensor for thermal infrared sensing
Bibliographic record
Abstract
We have designed and fabricated a novel, polymer-ceramic bimorph infrared (IR) sensing element for uncooled operations. The developed sensors utilize biopolymer chitin on ceramic beams, which deflect with changing temperature due to the mismatch in thermal expansion coefficients of the two materials. This is the first known instance of a polysaccharide-based material used in the development of IR sensors. To maximize the bi-material bending effect, a thin layer of chitin is deposited onto a stiff layer of polysilicon. As in nature, chitin makes an ideal absorbing layer for the sensors because of its high thermal expansion coefficient and natural vibrational resonances in the IR range. Experiments using finite element analysis (FEA) simulation showed that the sensitivity of the polymer-ceramic bimorph sensor was 50 times of the sensitivity of the commonly-used metal-ceramic bimorph sensor. The proposed device offers high sensitivity and significant cost savings compared to existing competitive technologies.
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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 | 0.000 |
| 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) | 0.001 | 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".