Quantum Tunneling in Mesoscopic Electromechanical Transducers
Bibliographic record
Abstract
The paper presents the simulation approach to some quantum transport effects, which arise in mesoscopic electromechanical transducers such as two-electrode tunneling transducer. The tunneling transducers are advanced nanoelectromechanical systems, which can be used for motion detection at nanoscale. It is very promising to adopt tunneling transducers as sensitive elements of the inertial microelectromechanical (or nanoelectromechanical) systems. In theory, their extremely high sensitivity is limited only by fundamental quantum relations. We propose theoretical model of the transducer based on the transfer-matrix formalism in this work. We provide the detailed derivation of transfer-matrix. Scattering potential of the transducer is a stepped representation of the electron potential energy. In addition, by using well-known formula proposed by L. Esaki and R. Tsu for finite superlattices we apply the numerical procedure for current density evaluation. The proposed model of the two-electrode mesoscopic tunneling transducer could be a useful tool for quantum transport simulation in high-performance nanoelectromechanical systems and advanced nanomaterials such as metal-polymer composites.
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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".