A New Advanced Analytical Model for Bi-Layer Circular CMUT-Based Gas Sensors
Bibliographic record
Abstract
Capacitive Micromachined Ultrasonic Transducers (CMUTs) have been introduced as an alternative candidate to piezoelectric transducers for ultrasonic imaging applications due to their better acoustic matching and higher bandwidth. In this paper and in an unconventional approach, a CMUT configuration is used as a highly-sensitive gas sensor that operates based on the measured frequency shifts in response to the mass of absorbed target analytes. In this work, a new complex bi-layer CMUT gas sensor model is developed that comprises the effect of sensing material properties as well as the sensor structural materials and geometrical design parameters to optimize and enhance the sensor sensitivity based on the application. The proposed analytical model is further utilized to design a high-sensitivity CMUT sensor for low concentration detection of gas molecules. The analytical model analysis and finite element method simulations are also conducted and compared. The results show a high achieved sensitivity of 364 Hz/zg for this sensor. In addition, the results indicate less than 2% variation between the developed analytical bi-layer model and the FEA multiphysics simulations <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".