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Record W2166237448 · doi:10.1029/2006jb004454

Magnetostatic interactions in a natural magnetite‐ulvöspinel system

2006· article· en· W2166237448 on OpenAlexaff
Michael Evans, David Krása, Wyn Williams, Michael Winklhofer

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsUniversity of Alberta
FundersNatural Environment Research Council
KeywordsMagnetiteSpinelFull width at half maximumMaterials scienceHomogenization (climate)MagnetizationHysteresisSingle domainCondensed matter physicsMagnetic domainMineralogyPhysicsMagnetic fieldChemistryMetallurgy

Abstract

fetched live from OpenAlex

Magnetostatic interactions have been investigated in an intergrown material consisting of ∼200‐nm magnetite blocks separated by ∼30‐nm‐wide ulvöspinel lamellae. First‐order reversal curve (FORC) measurements provide a direct measure of the interaction fields, giving a value for the full width at half maximum (FWHM) of 30 mT (at H c = 20 mT). Hysteresis parameters are M rs / M s = 0.22, H cr / H c = 1.98 and transient energy dissipation (TED) = 0.18. Elimination of the intergrowth structure (by heating in vacuo) causes the FORC contours to shrink down toward the origin, yielding FWHM = 14 mT (at H c = 6 mT) with corresponding changes in M rs / M s , H cr / H c and TED to 0.11, 2.73 and 0.28, respectively. All these characteristics reveal the strong influence of particle‐to‐particle magnetostatic interactions between the magnetite blocks in the starting material and demonstrate the change from single‐domain/pseudosingle‐domain to multidomain behavior due to the fundamental structural change brought about by the experimental homogenization. Micromagnetic calculations of particle assemblages representative for the intergrown structure confirm that the magnetite blocks will interact by assuming a supervortex magnetization structure.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.602

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 integrity0.0000.001
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 head0.305
Teacher spread0.289 · 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 designObservational
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

Citations64
Published2006
Admission routes1
Has abstractyes

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