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Record W1648159799 · doi:10.1063/1.2137884

Phase formation and magnetocaloric effect in rapidly quenched La(Fe1−xCox)11.4Si1.6

2005· article· en· W1648159799 on OpenAlexaff
X. B Liu, X. D Liu, Z. Altounian

Bibliographic record

VenueJournal of Applied Physics · 2005
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsMagnetic refrigerationMaterials scienceAlloyAnnealing (glass)Rietveld refinementCondensed matter physicsAnalytical Chemistry (journal)MagnetizationMagnetic fieldCrystallographyCrystal structureMetallurgyChemistryPhysics

Abstract

fetched live from OpenAlex

The effect of Co content on the phase formation, structure, and magnetocaloric effect of rapidly quenched La(Fe1−xCox)11.4Si1.6 with x=0 to 0.12 were investigated by x-ray diffractometry and magnetic measurements. Rietveld analyses indicate that with increasing Co content, the amount of the 1:13 phase increases from about 22 to 62 wt. % in the rapidly quenched alloys. A very short time annealing (1273K∕20min) of the as-quenched alloy is sufficient for the formation of a single phase 1:13 structure. The peak value of the magnetic entropy change is 20.5,11.8,9.9J∕kgK for the annealed rapidly quenched compounds with x=0, 0.04, and 0.08, respectively. Increasing Co content drives the order of magnetic transition, near TC, from first order to second order and eliminates the occurrence of the field-induced magnetic transition above TC, which is responsible for the decrease in the magnetocaloric effect.

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 score0.004

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 head0.007
GPT teacher head0.225
Teacher spread0.218 · 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

Citations41
Published2005
Admission routes1
Has abstractyes

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Same venueJournal of Applied PhysicsSame topicMagnetic and transport properties of perovskites and related materialsFrench-language works237,207