3D printing of conductive polymer aerogel thermoelectric generator with tertiary doping
Bibliographic record
Abstract
The rapid advancement of conductive polymer aerogel for thermoelectric application has predominantly depended on the use of performance-enhancing additives for improvement in electrical performance. Meanwhile, the intrinsic capability of the polymer matrix is often overlooked, and control over aerogel geometry remains limited. This arises from the challenges in fabricating conductive polymer aerogel film and the absence of an effective doping technique that does not compromise the aerogel’s fragile microstructure due to induced capillary stress. Herein, 3D printing is combined with a tertiary doping process to simultaneously enable synthesize of conductive polymer aerogel with controlled geometry, high electrical conductivity of over 10 Scm −1 , low thermal conductivity of < 100 mWm −1 K −1 , while increasing the thermoelectric output by four times compared to pristine aerogel. The result of this work opens new opportunities to enhance the performance of conductive polymer without relying on additives by unleashing the full potential for conductive polymer matrix.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".