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Record W4393971062 · doi:10.1002/9781119763222.ch13

Electromagnetic Analysis with Method of Moments in Shielded Layered Media

2024· other· en· W4393971062 on OpenAlexaff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsShielded cableMethod of moments (probability theory)PhysicsQuantum electrodynamicsComputer scienceMathematicsTelecommunicationsStatistics

Abstract

fetched live from OpenAlex

This chapter defines components of dyadic Green's functions in shielded layered medium. It formulates spectral domain method of moments solution of electric field integral equation for shielded microstrip circuits. The chapter understands unified-FFT algorithm for fast Method of Moments (MoM) matrix fill and evaluation of matrix–vector products. It determines components of the dyadic Green's functions of the electric and magnetic fields, which enable construction of the MoM analysis of structures embedded into such layered media enclosed into the rectangular waveguide. With the understanding of non-uniqueness in definition of the vector potential produced by the horizontal dipole discussed in the chapter, the readers can formulate components of the x-directed electric dipole in the rectangular waveguide filled with layered media. An alternative approach to the MoM analysis in planar multi-layered media is performing it in space domain.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.354
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.000

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 head0.252
Teacher spread0.247 · 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.

Study designNot applicable
Domainnot available
GenreOther

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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