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Record W2793949042 · doi:10.3390/app8020205

Intrinsic Magnetic Properties of Ce2Fe14B Modified by Al, Ni, or Si

2018· article· en· W2793949042 on OpenAlexafffund
Kayode Orimoloye, D. H. Ryan, F. E. Pinkerton, Mamoun Medraj

Bibliographic record

VenueApplied Sciences · 2018
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties of Alloys
Canadian institutionsMcGill UniversityConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCurie temperatureTetragonal crystal systemMaterials scienceCondensed matter physicsMagnetizationCurieAnisotropyAtom (system on chip)Saturation (graph theory)Magnetic anisotropyCrystallographyMagnetic fieldChemistryFerromagnetismCrystal structurePhysics

Abstract

fetched live from OpenAlex

Intrinsic magnetic properties (saturation magnetization, anisotropy fields, and Curie temperatures) of Ce2Fe14B doped with Al, Ni, and Si are presented. Substitution for Fe by these elements leads to the formation of solid solutions that crystallize in the tetragonal Nd2Fe14B structure. Substituting Al, Ni, or Si for Fe leads to a decrease in both the saturation magnetization and the anisotropy field of Ce2Fe14B. Ni and Si increase the Curie temperature of Ce2Fe14B while Al reduces it. While, for the Ce2(Fe14−xTx)B containing Ni, a maximum Curie temperature of 210 °C was observed at 9 atom % Ni (x = 1.45), the highest value of 252 °C was found for the Ce2Fe14B containing 14 atom % Si (x = 2.26).

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 score0.002
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)0.0020.000

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 head0.033
GPT teacher head0.236
Teacher spread0.203 · 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

Citations15
Published2018
Admission routes2
Has abstractyes

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