Flexible Free-Standing Infrared Photothermoelectric Detector Based on Graphene/PEDOT
Bibliographic record
Abstract
A novel flexible free-standing infrared graphene-based photothermoelectric detector has been designed and fabricated without any substrate support. The integration of polymers with nanomaterials has significantly enhanced the compatibility of multi-functional detection technologies. By combining graphene with poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) polymer to form composites, the final photodetectors have performed high flexibility with bending treatments. The signal under blackbody infrared source radiation has been collected and compared across different graphene loadings, where 10 wt% loading of graphene achieved the highest photoresponsivity under peak wavelength at 4.3 micrometer within 6 seconds response time. It achieves maximum 2.27$mV/W$photoresponsivity with 6.95$ \times {10^5}\;cm \cdot H{z^{1/2}}/W$detectivity, which is 5 times higher than pure PEDOT: PSS-based detector. These findings provide valuable insights for advancing graphene-based composites in real-time infrared 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".