RF Performance Potential of Array-Based Carbon-Nanotube Transistors—Part I: Intrinsic Results
Why this work is in the frame
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Bibliographic record
Abstract
A comprehensive study, which is presented in two parts, is performed to assess the radio-frequency (RF) performance potential of array-based carbon-nanotube field-effect transistors (CNFETs). In Part I, which is presented in this paper, the time-dependent Boltzmann transport equation is solved self-consistently with the Poisson equation to study the impact of nanotube phonon scattering on different aspects of intrinsic (single-tube, contact-independent) CNFET operation, including the attainable drive current and transconductance per tube, the intrinsic cutoff frequency, the intrinsic <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">y</i> -parameters, and the small-signal equivalent circuit for the intrinsic transistor. These intrinsic results are used to assess the tube-to-tube distance (pitch) that would be required in a multitube array-based structure to meet the drive current and transconductance requirements of the International Technology Roadmap for Semiconductors for the year 2015, which we use as a benchmark for CNFET technology going forward. In Part II of our paper, we elaborate on the results of Part I by adding the effects of extrinsic (contact-dependent) parasitics, thus providing an overall performance assessment of array-based structures.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it