Neutral solid polymer electrolyte for printed thin film transistors
Bibliographic record
Abstract
The increased demand for lightweight wearable technology for health monitoring requires thin and flexible devices with low operation voltage to replace bulky conventional silicon-based rigid electronics. Neutral pH solid polymer electrolytes are promising alternatives to those traditional dielectric materials; the high dielectric constant of these aqueous based electrolytes enables the electrolyte gated field effect transistors (EGFETs) to operate at low voltage, while also facilitating integration into flexible and wearable devices. This study shows the integration of a solid polymer electrolyte with printed polymer semiconductor to create an EGFET device patterned on a flexible polymer substrate, in which the electrolyte forms a free standing, mechanically stable film. Electrical impedance spectroscopy (EIS) and cyclic voltammetry (CV) were used to assess the compatibility of the electrolyte with the polymer semiconductor and the gold electrodes. Fabricated EGFET devices with inkjet printed semiconductor and drop cast solid polymer electrolyte demonstrated good transistor behaviour with ~103 ON/OFF ratio at < 1.2 V operation, with minimal performance degradation over at ambient condition for three days. The printability of the polymer semiconductor can further enable facile, high throughput fabrication of the EGFETs, while the flexible and lightweight nature of the substrate allows for integration with wearable electronics. Overall, the solid polymer electrolyte showed good integration with thin film transistors, with the potential to replace the conventional dielectrics in flexible and wearable electronics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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".