Selective RF wireless control of integrated bulk-micromachined shape-memory-alloy actuators and its microfluidic application
Bibliographic record
Abstract
This paper reports wireless microfluidic control enabled by selective operation of multiple bulk-micromachined shape-memory-alloy actuators using radiofrequency external magnetic fields. Each shape-memory-alloy actuator is driven by a wireless resonant heater, which generates heat only when the field frequency is tuned to the resonant frequency of the heater. Multiple actuators coupled with the heater circuits that are designed to have different resonant frequencies in a range of 135–295 MHz are selectively controlled by modulating the field frequency to the resonant frequencies of the corresponding heaters with a constant output power. A wireless microsyringe device that has three actuator-heater components and a flexible parylene reservoir is developed. The 5-µl reservoir is squeezed by the 5-mm-long cantilever-type SMA actuators to eject controlled amounts of liquid from the reservoir. Wireless modification of pH in liquid is demonstrated using the device loaded with acidic solution through the selective control of the three actuators based on the frequency modulation technique.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".