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Record W2132013556 · doi:10.1109/tmtt.2010.2042511

Distributed MEMS Tunable Impedance-Matching Network Based on Suspended Slow-Wave Structure Fabricated in a Standard CMOS Technology

2010· article· en· W2132013556 on OpenAlexafffund
Siamak Fouladi, Frédéric Domingue, Nino Zahirovic, Raafat R. Mansour

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversité du Québec à Trois-RivièresUniversity of Waterloo
FundersCMC Microsystems
KeywordsImpedance matchingCMOSMicroelectromechanical systemsElectrical impedanceSmith chartElectronic engineeringMaterials scienceCapacitorCoplanar waveguideFootprintElectrical engineeringCharacteristic impedanceTransmission lineOptoelectronicsEngineeringVoltageTelecommunicationsMicrowave

Abstract

fetched live from OpenAlex

A tunable RF microelectromechanical system (MEMS) impedance-matching network operating at a frequency band from 13 to 24 GHz based on the distributed microelectromechanical transmission line (DMTL) concept is presented in this paper. The network is implemented using a standard 0.35- ¿m CMOS technology and employs a novel suspended slow-wave (SSW) structure on a silicon substrate. The SSW structure results in a reduced total footprint and enhanced impedance coverage. The 8-bit DMTL matching network, fabricated using switched MEMS capacitors and SSW coplanar waveguide on a silicon substrate, results in a wide coverage of the Smith chart up to a maximum voltage standing-wave ratio of 11.5:1 with an impedance matching better than 10 dB and a power transfer ratio of better than -2.84 dB at 24 GHz. To our knowledge, this is the first implementation of a DMTL tunable MEMS impedance-matching network using a standard CMOS technology.

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 categoriesMeta-epidemiology (narrow)
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 score0.503
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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.

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

Citations31
Published2010
Admission routes2
Has abstractyes

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