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Record W2073355226 · doi:10.1109/tmtt.2014.2378253

Monolithic Millimeter-Wave MEMS Waveguide Switch

2014· article· en· W2073355226 on OpenAlexaff
Nahid Vahabisani, Mojgan Daneshmand

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInsertion lossMicroelectromechanical systemsCantileverActuatorMaterials scienceWaveguideExtremely high frequencyOptoelectronicsCoplanar waveguideWaferMillimeterWidebandOpticsElectrical engineeringMicrowaveEngineeringPhysicsTelecommunications

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.219
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations33
Published2014
Admission routes1
Has abstractyes

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