Design and Analysis of a Novel Quartz Crystal Microbalance Utilizing Distributed Mass Loading Area for Improved Sensitivity
Bibliographic record
Abstract
Quartz crystal microbalance (QCM) operates based on a shift in its resonant frequency due to addition of mass in its mass loading area. QCM has been widely used in detecting microgram level surface mass changes in both liquid and gas phases. The conventional QCM structure possesses a circular electrode configuration, which uniformly disperses the mass loading area across its surface. However, due to the energy trapping effect, the radial distribution of mass sensitivity is found to be unequal and diminished toward the edges of the electrode. In this article, the influence of the energy trapping effect is investigated to identify effective regions on the electrode contributing to the frequency shift. From this analysis, a novel topology is proposed by designing a unique distributed electrode configuration to effectively utilize the energy trapping effect and enhance the device mass sensitivity while utilizing smaller mass loading area. This proposed electrode configuration is contrasted with the conventional circular electrode and ring-dot electrode configurations based on their mass sensitivity and uniformity distribution. The conducted analysis revealed that the novel electrode topology attains a noticeably higher mass sensitivity and a comparable uniformity distribution in contrast to the conventional circular and ring-dot electrode configurations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".