Channel Length Scaling of Solution-Processed Single-Walled Carbon Nanotube Thin-Film Transistors
Bibliographic record
Abstract
Single-walled carbon nanotube (SWCNT) thin-film transistors (TFT) represent a cost-effective and performant alternative to traditional transistors in microfabrication and flexible electronics. In this study, SWCNT TFTs were fabricated using an improved low-cost solution-based approach to quantitatively characterize the impacts of channel length variations, as well as observe the impacts related to other parameters in SWCNT TFTs, such as the ON/OFF ratio and field-effect mobility. Silver-based electrodes with various channel lengths were created using inkjet printing. Preliminary data acquired with the solution-based approach shows promising results, with high drain current values and field-effect mobility values up to 42.4 cm2/Vs. The challenges involving the fabricated TFTs are high gate leakage currents, high threshold voltages, dielectric breakdown, as well as significant high-density SWCNT films negatively impacting the ON/OFF ratio. Etching away excess carbon nanotubes from the active area using photolithography processes and plasma treatment to minimize gate leakage current as well as reducing the SWCNT film density are priority design optimizations.
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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 | 0.000 | 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".