Multiwalled carbon nanotube and graphene–polystyrene nanocomposites for bolometric detection
Bibliographic record
Abstract
In this paper, the authors report on the use of multilayered carbon nanotubes and graphene films for the fabrication of temperature sensitive resistors. Multiwalled carbon nanotubes- and graphene-based films possess moderate temperature coefficients of resistance and wideband infrared absorption efficiency. This work demonstrates that by incorporating these nanoparticles into a thermally and electrically insulating polymer, polystyrene, the temperature sensitivity significantly improves. Experimental results show temperature coefficients of resistances for these films as high as −0.7%/K. The layers were deposited using a spraying setup without further chemical or thermal treatment. The low cost, simple, and versatile deposition process, in addition to the high temperature coefficients of resistances for these films, makes them suitable alternatives for infrared image sensors as well as many other sensing applications.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".