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Record W1994663046 · doi:10.1142/s0217984908014833

A HYBRID FINITE ELEMENT CALCULATION OF COMPLEX ELECTROMAGNETIC FIELDS

2008· article· en· W1994663046 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueModern Physics Letters B · 2008
Typearticle
Languageen
FieldEngineering
TopicSoil, Finite Element Methods
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaMcMaster University
KeywordsFinite element methodElectromagnetic fieldPhysicsTransmission-line matrix methodElectromagnetic radiationField (mathematics)Computational physicsComputational electromagneticsOpticsMathematicsQuantum mechanics

Abstract

fetched live from OpenAlex

In order to increase to a greater extent the calculation accuracy for complex electromagnetic fields in the modern physics, a hybrid finite element method (HFEM) is presented for analysis and simulation of complex electromagnetic fields. In the paper, the hybrid finite element method (HFEM) with high accuracy is introduced, and the complex electromagnetic field in an electromagnetic device has been calculated successfully by the hybrid finite element method (HFEM) and the electromagnetic properties of the electromagnetic device under the specific work condition is evaluated. It is shown that the method can provide a much more accurate calculation and good agreement between the computed values and the experimental values.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.768

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 head0.030
GPT teacher head0.241
Teacher spread0.212 · 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