Investigation of the dynamics of carbon nanotube deposition in dielectrophoresis
Bibliographic record
Abstract
Dielectrophoresis is one of the popular methods in making carbon nanotube (CNT) devices using CNT solutions on pre-patterned electrodes. The interaction between the deposited and suspended nanotubes during deposition, together with the type of solution (containing surfactants or not) and electrode geometries have a significant effect in the dynamics and the results of the deposition. Here, we report the results of experiments and simulations investigating these effects. The formation of semi-periodic patterns made of stripes of nanotubes bridging the electrodes is related to the mutual effects of CNTs on each other during deposition. The periodicity of these structures depends on the geometry of the electrodes. Simulations show that the reason is changes in the electric field as a result of deposition of CNTs. These changes affect the DEP force and, therefore, the CNTs are guided toward certain spots based on their initial location.
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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".