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Record W2962896881 · doi:10.48550/arxiv.1801.05276

Modulated magnetic structure in 57Fe doped orthorhombic YbMnO3: a\n M\\"ossbauer study

2018· article· W2962896881 on OpenAlexaff
Mathieu Duttine, Alain Wattiaux, Félix Balima, Claudia Decorse, Hicham Moutaabbid, P. Bonville

Bibliographic record

VenuearXiv (Cornell University) · 2018
Typearticle
Language
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsOrthorhombic crystal systemAntiferromagnetismHyperfine structureMagnetic structureMössbauer spectroscopyNeutron diffractionCondensed matter physicsDopingMaterials scienceSpin structureIonAtmospheric temperature rangePhase (matter)CrystallographyChemistryCrystal structureMagnetizationMagnetic fieldPhysicsAtomic physics

Abstract

fetched live from OpenAlex

In the orthorhombic manganites o-RMnO3, where R is a heavy rare earth (R =\nGd-Yb), the Mn3+ sublattice is known to undergo two magnetic transitions. The\nlow temperature phase has an antiferromagnetic structure (collinear or\nelliptical), which has been well characterized by neutron diffraction in most\nof these compounds. The intermediate phase, occurring in a narrow temperature\nrange (a few K), is documented for R = Gd-Ho as a collinear modulated\nstructure, incommensurate with the lattice spacings. We report here on a 57Fe\nM\\"ossbauer study of 2% 57Fe doped o-YbMnO3, where the spin only Fe3+ ion plays\nthe role of a magnetic probe. From the analysis of the shape of the magnetic\nhyperfine M\\"ossbauer spectra, we show that the magnetic structure of the\nintermediate phase in o-YbMnO3 (38.0 K < T < 41.5 K) is also modulated and\nincommensurate.\n

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.047
GPT teacher head0.196
Teacher spread0.149 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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