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Record W2169892907 · doi:10.1109/tmag.2003.816256

Magnetic entropy change in the Ge-rich alloys Gd-Si-Ge

2003· article· en· W2169892907 on OpenAlexaff
Yi Zhuo, Richard Chahine, T. K. Bose

Bibliographic record

VenueIEEE Transactions on Magnetics · 2003
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsCurie temperatureCondensed matter physicsMagnetic refrigerationNéel temperatureMaterials scienceAtmospheric temperature rangeMagnetic fieldSaturation (graph theory)Magnetic susceptibilityPhysicsNuclear magnetic resonanceMagnetizationThermodynamicsFerromagnetism

Abstract

fetched live from OpenAlex

We have studied the temperature and field dependence of the magnetocaloric effect in the Ge-rich alloys Gd/sub 5/(Si/sub x/Ge/sub 1-x/)/sub 4/, where x=0.0825, 0.15, and 0.1875. The low field susceptibility shows a two-step magnetic ordering at the Curie temperature T/sub C/ and the Neel temperature T/sub N/. The T/sub C/ of the different compositions covers the temperature range 67 K-108 K while T/sub N/ remains constant at around 133 K. The magnetic entropy change /spl Delta/S/sub M/(T) as a function of applied field up to 7 Tesla is characterized by a second-order magnetic phase transition around T/sub N/ and a first-order transition around T/sub C/. The maximum magnetic entropy change around T/sub N/ is only about 3 J/spl middot/kg/sup -1//spl middot/K/sup -1/, but it is much larger around T/sub C/. It rapidly reaches a saturation plateau of about 40-50 J/spl middot/kg/sup -1//spl middot/K/sup -1/, which widens with increasing field. The width of the plateau at an applied field of 7 T is about 20 K. These results indicate that the Ge-rich alloys are potentially good candidates for MR applications at low temperature.

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 categoriesInsufficient payload (model declined to judge)
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 score0.336
Threshold uncertainty score0.986

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)0.0140.001

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 head0.021
GPT teacher head0.229
Teacher spread0.208 · 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.

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

Citations21
Published2003
Admission routes1
Has abstractyes

Explore more

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