MétaCan
Menu
Back to cohort
Record W4223985752 · doi:10.5515/kjkiees.2021.33.3.181

Rectangular Waveguide-Based W-Band Eight-Way Radial Power Combiner

2022· article· en· W4223985752 on OpenAlexaff
Bongmo Kang, Sungjun Park, Wansik Kim, Juyoung Lee, Kichul Kim, Jeung Won Choi, Juman Park, Jinho Jeong

Bibliographic record

VenueThe Journal of Korean Institute of Electromagnetic Engineering and Science · 2022
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsNexen (Canada)
FundersAgency for Defense Development
KeywordsReturn lossBroadbandInsertion lossMaterials scienceWaveguidePower (physics)K bandAmplitudeElectrical engineeringOpticsPower dividers and directional couplersFabricationOptoelectronicsKu bandPort (circuit theory)PhysicsAntenna (radio)Engineering

Abstract

fetched live from OpenAlex

For semiconductor-based W-band high-power generation, a rectangular waveguide-based eight-way power combiner was designed and fabricated, providing broadband low-loss performance. The designed power combiner consists of a four-way mode converter and an H-plane T-junction. The electromagnetic fields were rotated and equally distributed among the four waveguides of the four-way mode converter, which was perpendicular to the input waveguide. Then, the H-plane T-junctions were attached to the output waveguide of the four-way mode converter. The eight output ports were placed symmetrically with respect to the input port so that the amplitude and phase imbalances between the output ports were minimized. The power combiner was made from metal without the dielectric substrate, allowing for easy fabrication and low loss. Each dimension was optimized using three-dimensional electromagnetic simulators. The fabricated eight-way power combiner demonstrated a broadband performance such as an input return loss of less than 10 dB from 75.0 GHz to 98.7 GHz and a low loss of less than 1.0 dB from 76.7 GHz to 95.3 GHz. The minimum loss was measured as 0.6 dB from 78.8 GHz to 81.3 GHz.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.005
GPT teacher head0.179
Teacher spread0.175 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Korean Institute of Electromagnetic Engineering and ScienceSame topicMicrowave Engineering and WaveguidesFrench-language works237,207