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Record W2971766371 · doi:10.1109/mwsym.2019.8701053

Non-Reciprocal Mode Converting Substrate Integrated Waveguide with Unsymmetrical Perturbation

2019· article· en· W2971766371 on OpenAlexaff
Amir Afshani, Ke Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsCirculatorReciprocalWaveguideFerrite (magnet)Mode (computer interface)Computer sciencePerturbation (astronomy)PhysicsTopology (electrical circuits)OptoelectronicsOpticsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

In this work, we have proposed and developed a special non-reciprocal waveguide in which forward and reverse directed waves propagate in different paths, like a two-way road that traffic in each road flows only in one direction. This waveguide structure is made possible thanks to the use of a substrate integrated waveguide loaded with anti-symmetrically biased twin-ferrite slabs. Further, this structure has been exploited to design a compact, fully integrated, non-reciprocal mode converting waveguide device, which converts the TE10mode into TE20mode only in one direction while in the reverse direction the mode is preserved all along the propagation. Finally, a new type of circulator that operates on the basis of the proposed nonreciprocal mode conversion mechanism has been designed, fabricated and measured to validate and highlight the whole theoretical foundation of this work.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 communication0.0010.001
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 head0.006
GPT teacher head0.192
Teacher spread0.186 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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