Expanding Limit of Detection and Increasing Operating Resonant Frequency via Larger Anchor Widths for Capacitive Micromachined Resonator-Based Mass Sensors
Bibliographic record
Abstract
An innovative technique is explored, aiming to expand the limit of detection (LOD) and increase the operating resonant frequency of the capacitive micromachined ultrasonic transducer (CMUT) working as a mass sensor through modifying anchor widths. The LOD is associated with the concentration range of target compounds and, therefore, their correspondent mass that can be measured using a CMUT mass sensor. The poly multiuser MEMS process (PolyMUMPs) sacrificial technique is used to fabricate three CMUT sensors with a range of anchor widths while keeping all other sensor design parameters and material properties constant. Experimental analysis is conducted to evaluate the influence of anchor width to resonant frequency and frequency shift at different biasing conditions. The experimental results demonstrate that a larger anchor width can increase CMUT operating resonant frequency and pull-in voltage, allowing for the expanded LOD. These results also agree with analytical expressions presented. In addition, it is shown that through employing a designed anchor width, resonant frequencies can be varied to fulfill specific sensor requirements with minimal fabrication adjustments. This study contributes to the evolving knowledge of the CMUT as a mass sensor, enabling more methods for variability of these devices.
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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".