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Record W4313558722 · doi:10.1103/physrevb.107.014402

Valence and magnetism in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>EuPd</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">S</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi mathvariant="normal">Y</mml:mi><mml:mo>,</mml:mo><mml:mi>La</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi>Eu</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi>Pd</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">S</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:mrow></mml:math>

2023· article· lv· W4313558722 on OpenAlexafffund
D. H. Ryan, Sergey L. Bud’ko, Brinda Kuthanazhi, P. C. Canfield

Bibliographic record

VenuePhysical review. B./Physical review. B · 2023
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsMcGill University
FundersDivision of Materials Sciences and EngineeringBasic Energy SciencesNatural Sciences and Engineering Research Council of CanadaOffice of ScienceU.S. Department of EnergyFonds Québécois de la Recherche sur la Nature et les TechnologiesIowa State University
KeywordsValence (chemistry)LanthanumYttriumExtrapolationEuropiumMaterials sciencePhysicsAnalytical Chemistry (journal)CrystallographyChemistryIonOxideMathematicsNuclear physicsStatisticsQuantum mechanics

Abstract

fetched live from OpenAlex

The double Dirac candidate EuPd${}_{3}$S${}_{4}$ appears to exhibit a roughly 50:50 mixture of Eu${}^{2+}$ and Eu${}^{3+}$. Substituting yttrium rapidly drives the remaining europium divalent, whereas lanthanum has the opposite effect. Analysis shows that average site volumes play a dominant role in the valence distribution suggesting that local strains matter more than electron count. Remarkably, lanthanum substitution also promotes valence instability leading to the appearance of intermediate valence ``Eu${}^{2.5+}$'', the fraction of which increases with both lanthanum content and temperature. Extrapolation of the onset temperature to zero lanthanum predicts ${T}_{\text{onset}}$ \ensuremath{\sim} 340 K matching recent reports of a structural transition attributed to a loss of valence order.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.210
Threshold uncertainty score0.704

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0070.007
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2100.122

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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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

Citations9
Published2023
Admission routes2
Has abstractyes

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Same venuePhysical review. B./Physical review. BSame topicAdvanced Condensed Matter PhysicsFrench-language works237,207