Speed and Scalability of Ambipolar Deep-Subthreshold TFTs for Ultralow-Power Printed Electronics
Bibliographic record
Abstract
This work evaluates the speed and scalability potential of ambipolar deep-subthreshold printed-carbon-nanotube thin-film transistors (CNT-TFTs) for the design of ultralow-power CMOS-like circuits. Transistor and circuit simulations are developed based on experimental device measurements. Our simulations allow the assessment of this emerging printed electronics technology in terms of speed, energy/power consumption, and scalability to digital circuits of progressively higher transistor count including elementary logic gates, ring oscillators and other representative digital circuits. It is shown that digital circuits based on this technology are compatible with propagation delays$\le 1$ms per NOT logic gate, while operating at ultralow supply voltages (0.2 V) and with ultralow static power dissipation (1 pW). Finally, this study develops Monte Carlo simulations to assess the impact of device parameter variations on the viability of large-scale circuit integration based on ambipolar deep-subthreshold printed-CNT-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 | 0.001 |
| 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 | 0.001 |
| 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".