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Record W1997755443 · doi:10.1109/tmag.2013.2288608

Basis Functions With Divergence Constraints for the Finite Element Method

2014· article· en· W1997755443 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Magnetics · 2014
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBasis functionFinite element methodBasis (linear algebra)Mathematical analysisHermite polynomialsInterpolation (computer graphics)Divergence (linguistics)Lagrange polynomialSpurious relationshipMathematicsApplied mathematicsPhysicsGeometryClassical mechanics

Abstract

fetched live from OpenAlex

Basis functions for solving partial differential equations of vector fields using the finite element method are presented. The basis functions are a combination of cubic Hermite splines and second-order Lagrange interpolation polynomials and allow the divergence to be set as a constraint. The basis functions are tested on 3-D resonant cavities and there are no spurious modes. There is good agreement with analytical solutions in cases where they exist and with calculations using edge elements in other cases. The method is extended to solve problems with singularities at edges and corners. For perfect conductors, this includes mesh refinement in the neighborhood of the edge or corner. For dielectrics, constraints are derived so that the flux of the field is zero through a closed surface that contains the edge or corner. The method is used to solve problems using the electric and magnetic field formulations. Through a change of variables, the method is applied to problems in cylindrical coordinates.

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: Methods · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score0.949

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)0.0010.000

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 head0.017
GPT teacher head0.264
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