Hydrothermal synthesis of zinc oxide/PEDOT:PSS composite for flexible temperature sensor application
Bibliographic record
Abstract
Abstract A flexible and printable temperature sensor was proposed for a fast detection of temperature measurements. A hybrid composite of zinc oxide (ZnO) and a conductive polymer poly(3,4-ethylenedioxythiophene):poly(styrenesulfonicacid) (PEDOT:PSS) was utilized as the temperature-sensing layer. An interdigitated electrodes structure based on silver (Ag) ink was used to electrically connect the composite through a facile drop-casting technique. A standout aspect of this work is the presentation of ZnO/PEDOT:PSS as a temperature-sensing layer. The PEDOT:PSS flakes were connected by hydrothermally prepared ZnO nanorods, which increased the composite sheets’ electrical conductivity. The linearity, sensitivity, stability and dynamic response of the flexible sensor were examined from a temperature of 29 °C–60 °C. The sensor has high sensitivity of 1.06% °C−1 with response and recovery times of 5 s and 12.7 s, respectively. This work clearly demonstrates the potential of ZnO/PEDOT:PSS composite for flexible temperature sensor and adds to the rapidly expanding field of personalized mobile healthcare.
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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) | 0.000 | 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 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".