The channel length effect on the electrical performance of suspended-single-wall-carbon-nanotube-based field effect transistors
Bibliographic record
Abstract
We report on the electrical performance of field effect transistor (FET) nanodevices based on suspended single-wall carbon nanotubes (SWCNTs) grown by our 'all-laser' synthesis process. The attractiveness of the proposed approach lies in the combination of standard microfabrication processing with the in situ 'all-laser' localized growth of SWCNTs, offering an affordable way of directly integrating SWCNTs into nanodevices. The 'all-laser' process uses the same KrF excimer laser (248 nm), first, to deposit the nanocatalyzed electrodes and, in a second step, to grow the SWCNTs in a suspended geometry, achieving thereby the lateral bridging of the electrodes. The nanocatalyzed electrodes consist of a multilayer stack sandwiching a catalyst nanolayer ( approximately 5 nm thick) composed of Co/Ni nanoparticles. The 'all-laser' grown SWCNTs ( approximately 1 nm diameter) are most often seen to self-assemble into bundles (10-20 nm diameter) and to bridge laterally the various gap lengths (in the 2-10 microm investigation range) separating adjacent electrodes. The suspended-SWCNT-based FETs were found to behave as p-type transistors, in air and at room temperature, with very high ON/OFF switching ratios (whose magnitude markedly increases as the active channel length is reduced). For the shortest gap (i.e. 2 microm), the suspended-SWCNT-based FETs exhibited not only an ON/OFF switching ratio in excess of seven orders of magnitude, but also an ON-state conductance as high as 3.26 microS. Their corresponding effective carrier mobility was estimated (at V(SD) = 100 mV) to a value of approximately 4000 cm(2) V(-1) s(-1), which is almost ten times higher than the hole mobility in single-crystal silicon at room temperature.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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".