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Record W2088614758 · doi:10.1109/tasc.2012.2231896

Low Temperature Superconducting RF MEMS Devices

2012· article· en· W2088614758 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Applied Superconductivity · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceCapacitorCapacitive sensingCapacitanceNiobiumOptoelectronicsMicroelectromechanical systemsSuperconducting radio frequencyElectrical engineeringSuperconductivityElectronicsRadio frequencyVoltageElectrodeOpticsCondensed matter physicsParticle acceleratorPhysics

Abstract

fetched live from OpenAlex

A dc contact and a capacitive contact niobium-based superconducting radio frequency (RF) microelectro-mechanical systems switches are presented for the first time. The switches are amenable to integration with superconducting-micro-electronics technology. A comparison of the RF performance of the switches at room and cryogenic temperatures indicate a significant improvement in the insertion loss of the switch when niobium is superconducting. A niobium-based dc contact single-port-double-throw switch is designed, fabricated, and tested. Two types of switched capacitor banks are also designed each implementing one of the two types of the introduced switches. The measured results of the capacitor bank with capacitive contact switches show variation of the capacitance value from 0.4 to 0.94 pF. The measured results of the capacitor bank with dc contact switches show variation of the capacitance value from 0.2 to 1 pF at 4 K.

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.

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: Empirical
Teacher disagreement score0.020
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.232
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