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Record W2467554735 · doi:10.1109/tmtt.2016.2582484

Mode-Matching Design of Substrate Mounted Waveguide (SMW) Components

2016· article· en· W2467554735 on OpenAlexaff
Jan Schorer, Jens Børnemann, Uwe Rosenberg

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2016
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMaterials scienceWaveguideSubstrate (aquarium)Mode (computer interface)OptoelectronicsOpticsElectronic engineeringAcousticsElectrical engineeringComputer scienceEngineeringPhysicsGeology

Abstract

fetched live from OpenAlex

The mode-matching technique (MMT) is employed to analyze and design the transition from substrate integrated waveguides (SIWs) to substrate mounted waveguides (SMWs) that are mounted on top and/or at the bottom of the substrate. Coupling between the layers is facilitated by apertures of the thickness of the substrate's metallization. By appropriately segmenting the transition, a simple and fast MMT routine is developed. The results obtained for a single waveguide resonator mounted on the substrate agree well with simulations in CST and HFSS and, thus, validate the MMT code. Furthermore, the routine is extended to accommodate the design of more complex structures. A five-resonator SMW filter with additional SIW resonators to add transmission zeros and a diplexer are presented and prototyped. All the measured results are in good agreement with the MMT and the CST simulation results, thus validating the design procedure.

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 score0.753
Threshold uncertainty score0.901

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 head0.014
GPT teacher head0.232
Teacher spread0.219 · 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

Citations26
Published2016
Admission routes1
Has abstractyes

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