Bibliographic record
Abstract
Here, for the first time, a monolithic wafer-level micro-electro-mechanical systems (MEMS) waveguide switch for millimeter-wave application is presented. The switch is based on the monolithic integration of MEMS actuators (cantilever beams) inside the waveguide channel. The highly deflected beams are electrostatically actuated to provide on and off states. In the off state, the beams are pushing against the upper inner wall of the waveguide to provide a short circuit, while the actuators are rolled flat to allow for maximum signal propagation during the on state. The switch illustrates an excellent wideband RF performance, with an insertion loss as low as 0.2 dB in the on state, and isolation of better than 22 dB in the off state, for the entire 60-75 GHz frequency band. A low-loss waveguide to CPW transition is also designed and integrated with the switch, which exhibits less than 1.1 dB loss for a back-to-back configuration across the band, and enables the on-wafer characterization of the entire structure.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".