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Record W4404772003 · doi:10.33425/2690-8077.1160

Dispersion Relation for 2D Transverse Magnetic (TM) Plasmonic Wave: Analytic Versus FEM

2024· article· en· W4404772003 on OpenAlexfundno aff
Cada Michael, Yuan Ma

Bibliographic record

VenueJapan Journal of Research · 2024
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaResearch Nova ScotiaDalhousie University
KeywordsDispersion relationTransverse planeTransverse magneticPlasmonFinite element methodPhysicsDispersion (optics)Condensed matter physicsQuantum electrodynamicsOpticsQuantum mechanicsMagnetic fieldStructural engineeringEngineering

Abstract

fetched live from OpenAlex

A metal-dielectric interface has been studied in this paper in the light of wave propagation characteristics. A new analytical result, through a simpler approach for deriving the dispersion equation in plasmonic waveguides, has been reported and visualized. A two-dimensional Transverse Magnetic (TM) wave is theorized and analyzed with respect to its propagation along the boundary of metal and air. Mathematical analysis results in the relationship between the propagation parameter and wavelength of operation. The plots reveal good conformity with the previous studies. For comparison, the propagation characteristics in free space have also been included. To validate the proposed results of this study, Finite Element Analysis (FEA) has been used to visualize the distribution of fields near the metal-dielectric boundary

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.073
GPT teacher head0.345
Teacher spread0.271 · 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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