Development of a Fully-Printed Flexible Polystyrene-Based Temperature Sensor with Anti-Humid Property
Bibliographic record
Abstract
We present a simple temperature sensing method based on a polystyrene (PS) and graphite (Gt) flakes nanocomposite. The conductive bridge formed by the Gt flakes, in conjunction with the elasticity of the PS with temperature, enables temperature sensing over a wide temperature range. The nanocomposite's hydrophobic nature ensures remarkable stability and resistance to changes in environmental humidity. Our experiments demonstrate that PS-based sensor stability is exceptional across a wide range of environmental humidity, from 10% to 80% RH, with high sensitivity (+0.37%$\ ^\circ \mathrm{C}^{-1})$for temperature sensing between$20\ ^\circ\mathrm{C}$and$80\ ^\circ\mathrm{C}$, fast response time in seconds, and high detection resolution to$3\ ^\circ\mathrm{C}$change. These promising results indicate that the fully printed, flexible temperature sensor is a promising candidate for applications requiring flexible and accurate temperature sensing capabilities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".