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Record W4383750934 · doi:10.1109/tasc.2023.3293449

Magnetodynamic H–$\phi$ Formulation for Improving the Convergence and Speed of Numerical Simulations of Superconducting Materials

2023· article· en· W4383750934 on OpenAlex

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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 Applied Superconductivity · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMultiphysicsComputationApplied mathematicsPhysicsFinite element methodTopology (electrical circuits)Computer scienceAlgorithmMathematicsCombinatoricsThermodynamics

Abstract

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The growing interest in fast and accurate simulation methods of the electromagnetic behavior of high-temperature superconducting materials has led to many exciting developments in the last decade. Although the H formulation implemented in the finite-element method has proven to be very robust for electromagnetic calculations, the dummy resistivity and vector-dependent variables required in air domains lead to long computation times and spurious currents in certain applications. Thus, the H– <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\phi$</tex-math></inline-formula> formulation has recently gained significant traction in order to speed up simulations. In our previous work, we implemented the H– <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\phi$</tex-math></inline-formula> formulation in COMSOL Multiphysics using the divergence-free condition in air domains and showed that the computation times were reduced by two and three in 2-D and 3-D, respectively. However, high-order shape functions were required in order to obtain sufficient accuracy when compared to the full H formulation. In this article, we implemented a magnetodynamic H– <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\phi$</tex-math></inline-formula> formulation in COMSOL by using Faraday's law in air domains to improve the coupling between the H and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\phi$</tex-math></inline-formula> physics and correctly represent time-varying phenomena in superconducting materials. We show that this formulation leads to better convergence, more accurate solutions, and a slight speed advantage compared to the previously used H– <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\phi$</tex-math></inline-formula> formulation. The magnetodynamic H– <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\phi$</tex-math></inline-formula> formulation results are shown to be nearly identical to the full H formulation even with linear shape functions, while reducing the computation times by a factor of up to four for a given mesh.

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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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.865

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 communication0.0000.001
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 head0.025
GPT teacher head0.256
Teacher spread0.231 · 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