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Record W1659990988 · doi:10.1063/1.2830557

Structure and magnetic properties of bulk nanocrystalline SmCo7−xHfx sintered magnets

2008· article· en· W1659990988 on OpenAlexaff
Dongtao Zhang, Ming Yue, Lijun Pan, Yangchao Li, Gang Xu, Weiqiang Liu, Jiuxing Zhang, Xubo Liu, Z. Altounian

Bibliographic record

VenueJournal of Applied Physics · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties of Alloys
Canadian institutionsMcGill University
Fundersnot available
KeywordsCoercivitySpark plasma sinteringNanocrystalline materialMagnetMaterials scienceRietveld refinementMicrostructureAnisotropyCondensed matter physicsSinteringPhase (matter)MetallurgyCrystallographyCrystal structureNanotechnologyOpticsChemistryPhysics

Abstract

fetched live from OpenAlex

The structure and magnetic properties of the bulk nanocrystalline SmCo7−xHfx (x=0,0.1,0.2) magnets prepared using the spark plasma sintering technology were studied. SmCo7−xHfx magnet exhibits a single phase with the TbCu7-type structure. The Rietveld structure refinement results show that Hf prefers to occupy the 1a site, which in turn leads to an enhancement of the anisotropy field of the SmCo7 compounds. Microstructure analysis indicates that the average grains size is about 35nm. With increasing Hf contents from x=0 to 0.2, the coercivity increases from 0.89to2.08T. The coercivity of SmCo6.8Hf0.2 magnet decreases almost linearly from 2.08to0.4T with increasing temperatures from 300to773K.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.016
GPT teacher head0.191
Teacher spread0.175 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2008
Admission routes1
Has abstractyes

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