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Record W2094584898 · doi:10.1063/1.2173213

Thermal fluctuations in a titanomagnetite mineral: A two-level subsystem approach

2006· article· en· W2094584898 on OpenAlexafffund
C. A. Viddal, R. M. Roshko

Bibliographic record

VenueJournal of Applied Physics · 2006
Typearticle
Languageen
FieldEngineering
TopicCharacterization and Applications of Magnetic Nanoparticles
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Minnesota
KeywordsFormalism (music)Magnetic fieldCondensed matter physicsThermalRelaxation (psychology)Arrhenius equationPhysicsThermodynamicsMaterials scienceClassical mechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

We present measurements of the field and temperature dependences of the relaxation of the magnetic moment of a magnetic mineral consisting of nanodimensional particles of titanomagnetite Fe3−xTixO4, with x≅0.1, embedded in a volcanic glass, over an observation time window of 10s⩽t⩽104s, following recoil from a positive saturating field to negative holding fields in the vicinity of the coercive field. The relaxation data are analyzed within the framework of a model which decomposes the free energy landscape into an ensemble of double well potentials, and the thermal fluctuation field Hf for this system is shown to exhibit a maximum as a function of temperature. Numerical simulations of viscosity isotherms based on the double well formalism are presented, which show that this maximum is a natural feature of the formalism, related to the distribution of characteristic energies of the double wells, and thus does not contradict the assumption of Arrhenius relaxation dynamics based on Maxwell-Boltzmann statistics.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.392

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 head0.012
GPT teacher head0.203
Teacher spread0.191 · 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 designSimulation or modeling
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

Citations2
Published2006
Admission routes2
Has abstractyes

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