Viability of Piezojunction Effect for Microresonator Applications
Bibliographic record
Abstract
This paper presents a study on the application of piezojunction transduction for the detection of vibrations of resonant microdevices. The piezojunction effect refers to the dependence of the electrical characteristics of a p-n junction to mechanical stress. It is shown that the piezojunction signal is proportional to the bias current of the diode, which can be adjusted as needed. A simple model that accounts for both capacitive and piezojunction currents and the equivalent electrical representations of the microdevice are developed and verified. A bulk-mode extensional resonator with an integrated p-n junction was designed and fabricated to serve as a proof-of-concept device. The static and dynamic responses of the fabricated devices were measured and compared against the models. The extensional-mode frequency of the resonator was measured to be ~7 MHz with a mechanical quality factor of ~1400. Capacitive and piezojunction signals at the output of the device were isolated and studied. It is shown that even with diode bias currents on the order of a few microamperes, the piezojunction and capacitive currents are comparable. Experimental verification demonstrates that piezojunction effect is a promising addition to the existing detection techniques in the resonance-based applications, where small chip area, integration, and power consumption are key requirements.
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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".