Development of an electron tunneling force sensor for the use in microassembly
Bibliographic record
Abstract
We present the development of an electron tunneling force sensor for use in microassembly and micromanipulation tasks. The force sensor consists of flexible structural members, to which two electrodes are attached, which deflect under the application of grasping forces, and a thermal actuator. A feedback controller is developed to maintain a constant tunneling current across the two electrodes, thereby maintaining constant displacement of the electrodes. Measurement of the voltage applied to the thermal actuator to maintain a constant electrode displacement allows the grasping force to be determined. The design and modeling of the force sensor are addressed. The fabrication of sharp tunnel tips using commercially available MEMS process is investigated. A sharp tunnel tip with width less than 100 nm is achieved using the PolyMUMPs process. The electron tunneling force sensor has extremely high sensitivity, which make it very suitable for micromanipulation tasks.
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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".