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Multiscale Finite Element Modelling of Pattern Formation in Magnetostrictive Composite Thin Film

2006· article· en· W2165349705 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

VenueInternational Journal for Multiscale Computational Engineering · 2006
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsHomogenization (climate)MagnetostrictionMicromagneticsMaterials scienceFinite element methodMultiscale modelingDiscretizationMechanicsPermalloyConstitutive equationMathematical analysisPhysicsMagnetic fieldMagnetizationMathematicsThermodynamics

Abstract

fetched live from OpenAlex

A multiscale finite element model with subgrid-scale spatial homogenization and stability estimate for time discretization in the context of magnetostrictive composite thin-film micromagnetics are reported in this paper. Developments of the phenomenological microscopic constitutive model and the subsequent multiscale approach are aimed at analyzing the formation of magnetic domains in Terfenol-D/epoxy thin film under transverse magnetic (TM) mode of excitation. The phenomenological constitutive model is based on the density of domain switching (DDS) of an ellipsoidal inclusion in a unit cell. The subgrid-scale spatial homogenization works as a method of upwinding the small-scale micromagnetism and magnetostriction to the larger length scale. Numerical results indicate complex features of this thin-film dynamics, such as the formation of connected domains.

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: none
Teacher disagreement score0.653
Threshold uncertainty score0.529

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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