Stable a-Si:H circuits based on short-term stress stability of amorphous silicon thin film transistors
Bibliographic record
Abstract
Hydrogenated amorphous silicon (a-Si:H) technology is interesting for large-area active matrix structure due to its good uniformity over large-area, low-temperature, and low-cost fabrication, and its industrial accessibility. However, the circuits implemented in this technology suffer from the instability of the material under prolonged bias stress. To improve the circuit stability, we present a circuit design technique based on the stability of a-Si:H thin film transistors (TFTs) under short-term bias stress. Here, an a-Si:H local current source (LCS) is used to adjust the circuit current bias. Since the LCS circuit is under stress for a small fraction of operation time, its current remains stable. The measurement and analysis of the LCS circuit indicate that the a-Si:H TFT is stable under short-term bias stress for over 50000h. Also, we present a pixel circuit based on this technique for active matrix organic light emitting diode displays.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".