Iptycene-Assisted Alignment of Chirality-Sorted SWCNTs for Field-Effect Transistors
Bibliographic record
Abstract
Single-walled carbon nanotubes (SWCNTs) are ideal channel material candidates for energy-efficient nanoscale transistors; however, it is challenging to achieve uniform alignment of semiconducting SWCNTs with homogeneous chirality. Here, we report the proof-of-concept of using organized chirality-sorted SWCNTs via the alignment relay technique (ART), where iptycene molecules order the nanotubes through π–π interactions. Top-gated field-effect transistors (FETs) were fabricated with aligned (10,3) chirality SWCNTs as channels to show an I ON of 3.8 μA, an I ON /I OFF ratio of 2.9 × 10 6, and a carrier mobility of 10.08 cm 2 /(V s), which is enhanced by two magnitudes of order compared with a bundled SWCNT network channel. In addition, the ART was applied to align commercially available semiconducting SWCNTs to fabricate a chemiresistive gas sensor that showed prompt detection of 4 ppm ammonia (NH 3 ) with a sensitivity of 0.43 ± 0.04%/ppm, demonstrating a general approach to align SWCNTs for applications in electronic devices.
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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 | 0.000 |
| 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 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".