Analysis of the off current in nanocrystalline silicon bottom-gate thin-film transistors
Bibliographic record
Abstract
The off current in bottom-gate nanocrystalline silicon (nc-Si) thin-film transistor (TFT) is shown to be determined by the conductivity of the channel layer and by the quality of the interface with the passivation nitride. Indeed, the presence of fixed charges at the nc-Si∕passivation nitride interface serves to increase the band bending, leading to an increase in the off current by about two orders of magnitude. In contrast, when the nc-Si channel layer is capped with hydrogenated amorphous silicon (a-Si:H), the off current decreases and is determined by the bulk conductivity of nc-Si, as the a-Si:H makes a less defective interface with the passivation nitride. The general effect of the gate and passivation nitride interfaces on band bending and transfer characteristics of the TFT is analyzed by numerical simulations. We find that the band bending due to fixed charges at the gate nitride interface is modulated by a negative gate voltage, while that due to fixed charges at the passivation nitride interface is not, leading to a high off current.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".