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Record W1719452301 · doi:10.1109/aps.1998.699128

Method of lines based on finite element technique to analyse electromagnetic problems

2002· article· en· W1719452301 on OpenAlex
E.K.N. Yung, Ke Wu

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 institutionsPolytechnique Montréal
Fundersnot available
KeywordsFinite element methodElectromagnetic fieldDimension (graph theory)Boundary value problemPoisson's equationMixed finite element methodComputer scienceApplied mathematicsTransmission-line matrix methodMathematical analysisField (mathematics)MathematicsComputational electromagneticsPhysicsEngineeringPure mathematicsStructural engineering

Abstract

fetched live from OpenAlex

In this paper, the novel FEMOL (finite element-method of lines) technique to solve electromagnetic problems is introduced and the basic concept and theory is described in detail through the Poisson equation. Some numerical results are given to demonstrate the efficiency and accuracy of this method. From the discussion given, it can be seen that the FEMOL appears to have a strong resemblance to the finite element method and method of lines but has the advantages of both methods. This method is being extended to analyse time-varying and three dimension electromagnetic field boundary value problems.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.296
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.289
Teacher spread0.268 · 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