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Record W2020801104 · doi:10.1063/1.1557271

Increased efficiency and accuracy in micromagnetic calculations of switching astroids

2003· article· en· W2020801104 on OpenAlexaff
M. R. Scheinfein, A. S. Arrott

Bibliographic record

VenueJournal of Applied Physics · 2003
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMicromagneticsEllipseMagnetizationCondensed matter physicsSymmetry (geometry)Field (mathematics)Rotation (mathematics)Path (computing)PhysicsState (computer science)Magnetic fieldStatistical physicsElement (criminal law)Topology (electrical circuits)MathematicsComputer scienceGeometryQuantum mechanicsAlgorithm

Abstract

fetched live from OpenAlex

The “path method” is introduced to use results of one or a few full Landau–Lifshitz–Gilbert dynamical micromagnetic calculations to predict switching diagrams for magnetic elements in random access memories. The utility of the method is demonstrated for an element in the form of a trapezoidally distorted generalized ellipse, where the symmetry produces the C state in the absence of applied fields. The element switches by almost uniform rotation of the S-state configuration in the presence of an adequate bias field. The path method relies on the empirically observed insensitivity of the magnetization patterns in a switching process to the amount by which the field exceeds that necessary for switching.

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 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 score0.032
Threshold uncertainty score0.242

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 head0.010
GPT teacher head0.231
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations8
Published2003
Admission routes1
Has abstractyes

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