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Record W4391492023 · doi:10.1117/1.oe.63.1.017101

Analysis of hollow elliptical waveguide with metamaterial cladding

2024· article· en· W4391492023 on OpenAlexaff
Saeedeh Ghasemzadeh, Fariba Lotfi, Reza Kheradmand, Nafiseh Sang-Nourpour

Bibliographic record

VenueOptical Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWaveguideMetamaterialCladding (metalworking)OpticsMaterials scienceDielectricWave propagationPhysicsOptoelectronics

Abstract

fetched live from OpenAlex

We characterize the behavior of modes propagating along a hollow elliptical waveguide with lossy metamaterial cladding. The proposed metamaterial-dielectric elliptical waveguide supports surface-plasmon polariton (SPP) and hybrid ordinary-SPP modes in the operating frequency ranges. Previous studies on metamaterial-dielectric elliptical waveguides either ignore the effect of energy loss on the modes characteristics or employ approximate approaches to characterize modes behavior. Although some previous works include energy loss, they do not specify SPPs propagation versus hybrid-ordinary SPPs propagation in the operating frequency ranges. Here, we consider energy loss in the waveguide to eliminate errors resulting from neglecting the loss. Our waveguide structure facilitates SPP and hybrid ordinary-SPP modes propagation along the waveguide, has better energy confinement, and higher propagation length than previous results in the literature. In the elliptical waveguide, the propagation coefficient changes by changing the waveguide eccentricity; therefore, the elliptical nature of the studied waveguide facilitates its applications in pressure optical sensors.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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