Extended time bias stress effects in polymer transistors
Bibliographic record
Abstract
The long term bias stress stability of poly(quaterthiophene) thin film transistors is described. Transistors are subject to repetitive pulsed gate bias stress for periods of up to five months, and the threshold voltage and mobility are monitored. The samples are unencapsulated bottom gate transistors held in either clean dry air or dry nitrogen. The threshold voltage shift increases as a power law with time for the first 1–2days, and the magnitude of the shift is a strong function of gate voltage. After a few days, threshold voltage shift stabilizes to an approximately constant value of 2–10V for gate voltages of 20–40V. When the stress is removed, the threshold voltage recovers with a time constant of 2–4days, and the recovery is the origin of the stabilization. The gate bias stress also induces a reduction in mobility of 10%–30% over about ten days, and there are further slow changes in mobility, which may be unrelated to electrical stress.
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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) | 0.001 | 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".