Synthesis and characterization of ultralong single-walled carbon nanotubes
Bibliographic record
Abstract
Ultarlong aligned single-walled carbon nanotubes (SWNTs) are very useful for high performance nanoelectronics because they have uniform properties along tube axis. In this study, ultralong and well-aligned SWNT arrays were synthesized via an ultralow gas flow chemical vapor deposition (CVD) system using ethanol as the carbon source. Raman spectroscopy was employed to comprehensively characterize the as-grown SWNTs. The intensity ratio of D band and G band (I D /I G ) of the SWNTs was extremely low, indicating the nanotubes are of high quality. The frequencies of RBM and G band acquired along one isolated tube axis maintained constant over a large length scale, which reveals that the SWNT is structural and chiral uniform. Field-effect transistors (FETs) were fabricated with such ultralong single nanotube as conduction channel, exhibiting excellent performances. Our results show possibility of large scale fabricating SWNT-based electronic devices and perspective of creating integrated circuits on individual SWNTs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".