A microcantilever of self-suspended carbon nanotube forest for material characterization and sensing applications
Bibliographic record
Abstract
This paper reports a laterally suspended microcantilever made entirely of a vertically aligned carbon nanotube (CNT) forest. The CNTs in a 1-mm-long cantilever, patterned using a post-growth microplasma technique, are preserved in their original alignment and structure, and are self-suspended only due to their entwined arrangement and internal interactions. This pure CNT forest cantilever is electrostatically actuated to characterize its resonance using a laser Doppler vibrometer, revealing a resonant frequency and quality factor of 7.95 kHz and 51.3, respectively, at room temperature. The measurement result fitted to a free vibrating microcantilever model indicates that the CNT forest, an anisotropic bulk material, has an in-plane Young's modulus of 3.8 MPa, which matches well with previously reported levels of the modulus. A preliminary test of the cantilever as a resonant-mode sensing device shows real-time temperature tracking, suggesting the device's potential for not only temperature sensing but also other sensing applications.
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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) | 0.000 | 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 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".