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Record W2612955569

Uniaxial approach to time-domain computations using electromagnetic potentials: Research Articles

2004· article· en· W2612955569 on OpenAlexaff
Natalia K. Nikolova

Bibliographic record

VenueInternational Journal of Numerical Modelling Electronic Networks Devices and Fields · 2004
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCurl (programming language)ComputationFinite-difference time-domain methodScalar (mathematics)Electromagnetic fieldTheory of computationTime domainMathematical analysisScalar fieldScalar potentialTransient (computer programming)WaveguideMagnetic fieldMathematicsMaxwell's equationsComputer scienceAlgorithmPhysicsGeometryOpticsQuantum mechanicsMathematical physics
DOInot available

Abstract

fetched live from OpenAlex

A new approach to transient electromagnetic (EM) analysis in terms of wave potentials is presented. It is based on the EM field and source scalarization in a non-uniform medium. The algorithm computes two scalar wave functions of space-time, which constitute a complete 3-D solution. They represent the time-dependent values of two collinear (electric and magnetic) vector potentials of known fixed direction throughout the computational volume. Auxiliary source functions are also computed but only at the location of material non-uniformities. A finite-difference implementation in the case of metallic boundaries and inclusions is considered. The algorithm offers approximately 30p reduction of the computation time and memory requirements in comparison with the FDTD method based on the Maxwell curl equations. The technique is illustrated with a number of waveguide examples. Copyright © 2004 John Wiley & Sons, Ltd.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.037
GPT teacher head0.318
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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
Published2004
Admission routes1
Has abstractyes

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