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Record W4412987758 · doi:10.1021/acsaem.5c02110

Magnetic and Magnetocaloric Properties of YbVO<sub>3</sub> Single Crystals: Experiments and DFT Calculations

2025· article· en· W4412987758 on OpenAlexafffund
M. Ballı, Sohail Ait Jmal, O. Chdil, S. Mansouri, P. Fournier, S. Jandl, Jean‐Paul Salvestrini

Bibliographic record

VenueACS Applied Energy Materials · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsCégep de Sorel-TracyInstitut quantiqueUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaCanada First Research Excellence FundFonds Québécois de la Recherche sur la Nature et les TechnologiesUniversité de Sherbrooke
KeywordsMagnetic refrigerationMaterials scienceThermodynamicsCondensed matter physicsSingle crystalCrystallographyMagnetizationPhysicsMagnetic fieldChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

In this paper, we mainly focus on the magnetic and magnetocaloric properties of YbVO 3 single crystals grown by the floating-zone method. The crystals present several phase transitions close to 104, 65, and 20 K involving mainly the vanadium sublattice. Particularly, the complex electronic and magnetic structures of YbVO 3 result in interesting thermal effects over a wide range of temperatures including a large inverse magnetocaloric effect close to 60 K. In fact, the maximum entropy change is found to be almost 12 J/kg K for a magnetic field change of 0 to 7 T at 64.25 K applied along the c axis and at 65.5 K along the ab plane. More interestingly, the strong magnetocrystalline anisotropy shown by the V 3+ sublattice results in a large rotating magnetocaloric effect (RMCE) at relatively high temperatures (60 K). This means that the refrigeration process can be achieved simply by spinning YbVO 3 single crystals in constant magnetic fields within the ac or bc planes instead of varying the external magnetic field. Our experimental findings are discussed and analyzed in the framework of Density Functional Theory (DFT) calculations.

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)0.000
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 score0.010
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.011
GPT teacher head0.193
Teacher spread0.182 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueACS Applied Energy MaterialsSame topicMagnetic and transport properties of perovskites and related materialsFrench-language works237,207