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Record W2050746412 · doi:10.1063/1.1643200

Magnetic refrigeration: Single and multimaterial active magnetic regenerator experiments

2004· article· en· W2050746412 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Physics · 2004
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsUniversity of VictoriaUniversité du Québec à Trois-Rivières
FundersNatural Resources Canada
KeywordsMagnetic refrigerationGadoliniumReciprocating motionRegenerative heat exchangerMaterials scienceRefrigerationMagnetCooling capacityMagnetic fieldNuclear engineeringNuclear magnetic resonanceComposite materialHeat exchangerThermodynamicsMagnetizationMetallurgyMechanical engineering

Abstract

fetched live from OpenAlex

An investigation of active magnetic regenerators (AMRs) has been performed near room temperature using helium as a heat transfer fluid and a magnetic field of 2 T. To evaluate the impact of the operating conditions, the performance of two reciprocating 90 g gadolinium packed bed regenerators was mapped as a function of the fluid flux and cycle frequency. In addition, two multilayer regenerators of similar mass and dimensions, composed of a layer of gadolinium and a layer of a gadolinium–terbium alloy, were tested and compared to the performance of the Gd-only regenerators. The multilayer regenerators produced a larger temperature span and cooling power compared to the single material regenerators of equivalent mass and geometry (temperature spans of about 20 and 16 K, respectively). Theses results validate the concept of a multilayer AMR, provide useful data for magnetic refrigerator design, and provide better understanding of active magnetic refrigeration.

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.

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)0.000
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 score0.009
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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