(Invited) Flexible and Stretchable Thermoelectric Generators
Bibliographic record
Abstract
Thermoelectricity can be an interesting source of power from otherwise wasted heat. Therefore, for many decades discovery and optimization of new thermoelectric materials has shown important leap toward thermoelectric generator applications. However, from an engineering perspective, structural modifications at the device level can play an important role to maximize the power output. We base our study on device architecture reconfiguration by adopting various in-plane and out-of-plane fractal design to develop flexible and stretchable thermoelectric generator. Physical flexibility allows the devices to be conforming to asymmetric surfaces and mechanical stretching allows to dynamically controlling the distance between the hot and cold end in a thermoelectric generator. This way, one can tune the distance, maximize the temperature difference and maintain a high temperature difference which directly relates to efficiency of a thermoelectric generator. Adopting low cost materials like paper and Off-Stoichiometry Thiol-Enes (OSTE) as structural materials we demonstrate the integration strategy to rationally design materials, processes and devices for flexible and stretchable thermoelectric generators.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".