Stability issues in digital circuits in amorphous silicon technology
Bibliographic record
Abstract
Hydrogenated amorphous silicon thin film transistors (a-Si:H TFTs) are attractive for flat-panel liquid crystal displays (LCDs) and imaging sensor arrays in view of their large area capability. In large area imaging arrays or displays, the need for multiplexer circuits arises because of the large number of external gate and data line connections. This work presents a multiplexer (MUX) design using pass transistor logic (PTL) with a-Si:H TFTs used as switches. This research investigates inherent a-Si:H TFT switch metastability issues such as threshold voltage shifts due to prolonged TFT gate bias. In a typical MUX application, most of the TFTs are stressed under pulse bias instead of constant bias. Differences in stability behavior are observed under pulse and constant bias stress in a-Si:H TFTs. In this paper, we present constant and pulse bias stress measurement data performed on in-house fabricated a-Si:H TFTs.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".