Development of a microwave microelectromechanical systems switch
Bibliographic record
Abstract
A novel microwave microelectromechanical systems switch with a coplanar waveguide structure has been developed. The switch consists of a freestanding metallic cantilever and an electromagnet. A permanent magnetic film was deposited on top of the cantilever. By supplying a dc current to the electromagnet, the magnetic field generated would attract or repel the permanent magnetic film on top of the cantilever, causing it to make or break contact with a bottom electrode. An all-electrodeposition method has been used to improve the mechanical properties of the cantilever. The deposition process of the cantilevers has been optimized to improve the adhesion of the cantilever to the substrate and to minimize the switching dc power. Using commercially available electromagnet, a voltage of 2 V (dc power of about 15 mW), is sufficient to actuate the switches. Similar switching power was observed using an improved hand wound electromagnet. The on-state dc resistance of the switches is generally less than 2 Ω. At 10 GHz, the on state insertion loss due purely to the switches is about 0.1 dB and off state isolation is greater than 20 dB. Repeated operations of the switches showed no sign of performance degradation in a conventional room environment.
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 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) | 0.001 | 0.001 |
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".