Polydiacetylene‐Crosslinked Oligosiloxanes for Dual‐Mode Temperature Sensing
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Polydiacetylenes (PDAs) are versatile smart materials due to their unique optoelectronic properties and sensitivity to environmental changes such as temperature, pH, and pressure, leading to distinct color transitions. Despite advantageous features, the limited solubility and challenging processing of PDAs often restrict their application in sensor manufacturing. Addressing the limitations of PDAs, this work combines PDAs with oligosiloxanes to create a material exhibiting good solubility in common organic solvents, facilitating the formation of thin films through solution deposition. A meticulous characterization strategy is used, including Raman spectroscopy, optical spectroscopy, and differential scanning calorimetry, to explore the thermochromic and electronic properties of the new crosslinked materials for the fabrication of optical‐electronic temperature sensors. The synthesized material displayed reversible thermochromism from 25 to 47 °C and a nonreversible transition beyond this temperature range. Dual‐mode capacitive temperature sensors fabricated from the new materials exhibited sensitivity (0.1 pF/°C) in the 25–80 °C range. The hybrid sensing mechanism developed enhances accuracy and reliability by monitoring temperature changes through both colorimetric shifts and capacitance variation. The development of new PDA‐crosslinked oligosiloxane not only marks an advancement in smart material technology but also opens new possibilities for diverse sensor applications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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 it