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Record W2034627898 · doi:10.1109/tmtt.2013.2265685

Calibration-Kit Design for Millimeter-Wave Silicon Integrated Circuits

2013· article· en· W2034627898 on OpenAlexaff
Dylan F. Williams, Phillip L. Corson, J. Sharma, Harish Krishnaswamy, Wei Tai, Zacharias George, David Ricketts, Paul Watson, Eric Dacquay, Sorin P. Voinigescu

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2013
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsUniversity of Toronto
FundersU.S. Department of Defense
KeywordsCalibrationElectronic circuitTransmission lineExtremely high frequencyElectronic engineeringScattering parametersGround planeTransistorNetwork analyzer (electrical)Integrated circuitMaterials scienceLine (geometry)Electrical engineeringEngineeringOptoelectronicsTelecommunicationsVoltagePhysics

Abstract

fetched live from OpenAlex

We study and present design guidelines for thru-reflect-line vector-network-analyzer calibration kits used for characterizing circuits and transistors fabricated on silicon integrated circuits at millimeter-wave frequencies. We compare contact-pad designs and develop fixed-fill contacts that achieve both repeatable and low contact-pad capacitances. We develop a fill-free and mesh-free transmission line structure for the calibration kit and compare it to similar transmission lines with meshed ground plane. We also develop a gold plating process that greatly improves contact repeatability, permitting the use of redundant multiline calibrations. This in turn simplifies the development of an error analysis. Finally, we apply the technique to state-of-the-art transistor characterization, and present measured results with uncertainties.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0040.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.006

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 head0.028
GPT teacher head0.221
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations63
Published2013
Admission routes1
Has abstractyes

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