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Magnetization and<sup>61</sup>Ni Mössbauer effect study of the ternary arsenide CrNiAs

2008· article· en· W1967334440 on OpenAlexaff
Z. M. Stadnik, P Wang, Nathan D Jansen, D. Walcher, Philipp Gütlich, T. Kanomata

Bibliographic record

VenueJournal of Physics Condensed Matter · 2008
Typearticle
Languageen
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMagnetizationMagnetic momentCondensed matter physicsCurie temperatureHyperfine structureCurie–Weiss lawTernary operationArsenideParamagnetismMössbauer spectroscopyFerromagnetismMaterials scienceChemistryCrystallographyMagnetic fieldGallium arsenidePhysicsAtomic physics

Abstract

fetched live from OpenAlex

The results of x-ray diffraction, dc magnetization, and 61Ni Mössbauer spectroscopy studies of the ternary arsenide CrNiAs are reported. This compound crystallizes in the orthorhombic Fe2P-type structure (space group ) with the lattice parameters a = 6.1128(2) Å and c = 3.6585(1) Å. CrNiAs is a mean-field ferromagnet with Curie temperature TC = 171.9(1) K and the critical exponents β = 0.514(18), γ = 1.010(16), and δ = 2.922(10). The temperature dependence of the magnetic susceptibility above TC follows the modified Curie–Weiss law with a paramagnetic Curie temperature of 176.0(3) K and effective magnetic moment per transition metal atom of 2.42(1) μB. The magnetic moment per formula unit at 4.2 K is found to be 1.114(33) μB. The hyperfine magnetic field at 61Ni nuclei at 4.2 K of 41.5(1.0) kOe implies that the Ni atoms carry a magnetic moment of 0.15(3) μB, and that the moment carried by the Cr atoms is 0.95(6) μB. The Debye temperature of CrNiAs is 221(1) K.

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 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 score0.011
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.017
GPT teacher head0.251
Teacher spread0.234 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

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