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Record W2598952414

FDTD Potentials for Dispersion Analysis of Sinusoidally Modulated Media

2017· article· en· W2598952414 on OpenAlex
Fatemeh M. Monavar, Gholamreza Moradi, Pedram Mousavi

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFinite-difference time-domain methodDispersion relationPermittivityDispersion (optics)Mathematical analysisMathematicsModulation (music)DielectricOpticsScatteringElectric fieldPhysicsComputational physicsAcousticsQuantum mechanics
DOInot available

Abstract

fetched live from OpenAlex

A numerical study based on the finite difference time domain (FDTD) method is presented for the oblique incidence of TE modes with an emphasis on dispersion properties. The proposed medium has sinusoidally modulated dielectric permittivity. In order to truly address this scattering problem, total fieldscattered field (TFSF) approach is suggested, which yields accurate results for the electric field distribution inside the modulated medium. A comparison between analytical plots and the FDTD results reveals the ability of FDTD in rigorous analysis of band diagrams for any arbitrary value of modulation factor. In addition, a closed form formula for numerical dispersion relation is derived for the case of small modulation.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.299
Teacher spread0.277 · 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