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Record W4409014793 · doi:10.1109/tcpmt.2025.3556594

Unified Microwave Terahertz Waveguide Coupler for Multiband Wireless Applications

2025· article· en· W4409014793 on OpenAlexaff
Jie Deng, Pascal Burasa, Ke Wu

Bibliographic record

VenueIEEE Transactions on Components Packaging and Manufacturing Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTerahertz radiationMicrowaveOptoelectronicsMaterials scienceWaveguideWirelessTerahertz metamaterialsPhysicsOpticsComputer scienceTelecommunicationsFar-infrared laser

Abstract

fetched live from OpenAlex

In this work, a microwave (MW) and terahertz (THz) composite waveguide coupler for multiband wireless systems is proposed and demonstrated. Such a very large frequency ratio (more than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$20\times $ </tex-math></inline-formula>) of the proposed coupler is made possible thanks to a composite waveguide technique where the center strip of a coplanar waveguide (CPW) is replaced by a substrate-integrated waveguide (SIW) block. In this way, the dual-mode operation, i.e., quasi-TEM mode and TE<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sub> mode, can be enabled simultaneously at different frequencies. In addition, by adjusting the SIW width, the operating frequency of the quasi-TEM mode and the TE<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sub> mode can be reassigned. All the advantages known for CPW couplers and SIW couplers are inherited in the proposed waveguide coupler. To validate this scheme, experimental prototypes are developed and fabricated on a thin-film miniature hybrid MW-integrated circuit (MHMIC) process. Measured results confirm the good THz performance as well as MW performance.

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 categoriesMeta-epidemiology (narrow)
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 score0.769
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.223
Teacher spread0.213 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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