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Record W3203211418 · doi:10.1109/aces53325.2021.00047

New Magnetic Current Based Surface-Volume-Surface Electric Field Integral Equation For Solution of Scattering Problems on Dielectric Objects

2021· article· en· W3203211418 on OpenAlexaff
Osman Goni, Vladimir Okhmatovski

Bibliographic record

Venue2021 International Applied Computational Electromagnetics Society Symposium (ACES) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsElectric-field integral equationIntegral equationMathematical analysisMathematicsScatteringDielectricMethod of moments (probability theory)Magnetic fieldPhysicsOpticsQuantum mechanicsEstimator

Abstract

fetched live from OpenAlex

New Surface-Volume-Surface Electric Field Integral Equation (SVS-EFIE) based on magnetic current single source field representation (SVS-EFIE-M) is proposed for the problems of scattering on homogeneous non-magnetic dielectric objects. It's analytic MoM solution for a dielectric sphere is compared against the Mie series expansion to validate the exact nature of this new magnetic current based SVS-EFIE formulation. This analytic solution also allows to rigorously study spectral properties of the SVS-EFIE- M operators and to determine proper functional spaces in which MoM solutions of it should be sought in order to maintain bounded condition number of the pertinent matrix equation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0010.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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 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
Published2021
Admission routes1
Has abstractyes

Explore more

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