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Record W4385267547 · doi:10.1109/tthz.2023.3299155

Substrate-Integrated Nonradiative Dielectric (SINRD) Waveguide for THz Integrated Circuits and Systems

2023· article· en· W4385267547 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Terahertz Science and Technology · 2023
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsNational Research Council CanadaPolytechnique Montréal
Fundersnot available
KeywordsTerahertz radiationMaterials scienceWaveguideBandwidth (computing)OptoelectronicsInsertion lossTransmission lossIntegrated circuitElectronic circuitDielectricOpticsSubstrate (aquarium)Parametric statisticsTelecommunicationsElectrical engineeringComputer sciencePhysicsEngineering

Abstract

fetched live from OpenAlex

In this work, a theoretical and experimental investigation of substrate-integrated nonradiative dielectric (SINRD) waveguide is conducted in terahertz (THz) band. Parametric effects on operation bandwidth and transmission performance are studied. An alumina-based SINRD waveguide with a thickness of 0.254 mm is first demonstrated in WR3-band. The performance of the presented SINRD waveguide is then experimentally verified. The demonstrated SINRD waveguide has an average measured insertion loss of 3.5 dB (3 dB in simulation) from 240 to 330 GHz. A substrate-integrated waveguide (SIW) with the same materials and dimensions has an average measured insertion loss of 5.5 dB (3 dB in simulation) over the same bandwidth. The metalized-via-free process of SINRD waveguide makes the low-cost manufacturing and low-loss performance more appealing than that of the well-known SIW with metalized via holes/walls for applications in the development of THz integrated circuits and systems.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.804

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
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 head0.013
GPT teacher head0.226
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