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Record W1963665098 · doi:10.1109/aps.2004.1330395

Fast full-wave analysis of conductor-loaded rectangular cavity resonators using surface integral equation and moment method

2004· article· en· W1963665098 on OpenAlexaff
Amir Borji, S. Safavi‐Naeini

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsResonatorIntegral equationMethod of moments (probability theory)AdmittanceAdmittance parametersEnclosureConductorMoment (physics)Ray transfer matrix analysisSurface (topology)Matrix (chemical analysis)PhysicsOpticsAcousticsMathematical analysisMaterials scienceGeometryMathematicsElectrical impedanceEngineeringClassical mechanicsVoltageElectrical engineering

Abstract

fetched live from OpenAlex

A recently developed technique for rapid calculation of the Green's functions in a rectangular cavity combined with a surface integral equation formulation and method of moments (SIE-MoM) is applied for full-wave modeling of arbitrarily oriented conducting objects inside a rectangular enclosure. In a multiply coupled resonator structure, each rectangular cavity with apertures of arbitrary shape and orientation on its walls is modeled by a generalized admittance matrix (GAM) obtained through SIE-MoM. Both combline and dual-mode disk resonators with tuning screw are considered for demonstration of the new approach and a remarkable computational efficiency is observed. A commercial EM simulator is used to verify the numerical results with excellent agreement.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.263
Teacher spread0.228 · 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 designSimulation or modeling
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
Published2004
Admission routes1
Has abstractyes

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