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Record W3152795045 · doi:10.1109/ted.2021.3069729

Scalable mmWave Non-Volatile Phase Change GeTe-Based Compact Monolithically Integrated Wideband Digital Switched Attenuator

2021· article· en· W3152795045 on OpenAlexafffund
Tejinder Singh, Raafat R. Mansour

Bibliographic record

VenueIEEE Transactions on Electron Devices · 2021
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAttenuator (electronics)Materials scienceInsertion lossResistorAttenuationOptoelectronicsElectrical engineeringBandwidth (computing)Switching timeCenter frequencyElectronic engineeringComputer scienceTelecommunicationsEngineeringPhysicsBand-pass filterVoltageOptics

Abstract

fetched live from OpenAlex

This article reports a scalable millimeter-wave (mmWave) non-volatile switched attenuator based on phase change material (PCM) germanium telluride (GeTe). The proposed attenuator is designed using four fixed attenuation bits. The PCM GeTe-based T-type switches and two single-pole n-throw (SPnT) switches are monolithically integrated with four passive bridged-T resistor networks to provide a wide attenuation range. Utilizing a T-type switch as a routing core provide scalability with low loss and offers a reduced number of switches in various signal routing paths. It also offers signal routing functionality if there is a switch failure in the T-type unit-cell. The nonvolatile PCM GeTe-based switches do not consume any static dc power. The integrated planar resistors are fabricated precisely on-wafer, and capacitive coupling is added to get wideband operation with a flat response at high frequencies. The fully integrated device is fabricated in-house using a custom eight-layer microfabrication process. The Ka-band attenuator is designed at 30 GHz center frequency with 8 GHz bandwidth. The proposed circuit is highly miniaturized, with a device core size of 0.3 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> only. The switched attenuator exhibits a measured attenuation from 3.9 to 28 dB at the center frequency in nine discrete steps.

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: Empirical
Teacher disagreement score0.264
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 communication0.0000.001
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 head0.016
GPT teacher head0.248
Teacher spread0.232 · 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

Citations25
Published2021
Admission routes2
Has abstractyes

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