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Record W2101703822 · doi:10.1002/mop.22944

Design and optimization of microstrip passive circuits by field‐based equivalent circuit model with aggressive space mapping

2007· article· en· W2101703822 on OpenAlexaff
Wanchun Tang, Puke Zhou, Xuemei Chen, Y.L. Chow

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Waterloo
FundersNanjing University of Science and TechnologyNational Natural Science Foundation of China
KeywordsMicrostripEquivalent circuitSpace mappingField (mathematics)MicrowaveElectronic engineeringElectronic circuitElectrical engineeringSoftwareEngineeringComputer scienceTelecommunicationsVoltageMathematics

Abstract

fetched live from OpenAlex

Abstract The field‐based equivalent circuit model is applied to the design and optimization of microstrip passive circuits with aggressive space mapping (ASM) technique. The field‐based equivalent circuit model is taken as coarse model, whereas the commercial software IE3D is used as the fine model. Three practical passive components, i.e., two low‐pass filters and a power divider are designed by the field‐based equivalent circuit model with ASM. Good convergence performance is achieved for the designs of all examples. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2889–2893, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22944

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 score0.624
Threshold uncertainty score0.945

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 head0.010
GPT teacher head0.194
Teacher spread0.184 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

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