A Flexible Decoder With Charge-Sharing Feature for TFT Display Backplanes
Bibliographic record
Abstract
Thin-film Transistors (TFTs) have garnered recent research interest in the development of flexible displays, due to their low fabrication costs and high-volume production. In displays, driver circuits are typically implemented with off-panel CMOS logic, while the display pixels themselves use TFTs. This approach restricts the resolution enhancement of displays and causes significant power dissipation. Additionally, implementing CMOS-like logic with unipolar TFTs requires careful attention to power and voltage swing. The latest bootstrapped inverter technology has addressed some of these issues, demonstrating the use of unipolar TFTs in row-driver display circuits. In this article, we propose a row address decoder circuit for TFT-based displays that reduces dynamic power consumption through charge-sharing on glass and flexible substrate. The impact of bending and substrate material was also investigated. Measurement results show that the proposed design-based 3-to-8 decoder under various conditions saves on average 26.0% of the power compared to a state-of-the-art TFT-based decoder.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".