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Record W1975115087 · doi:10.1103/physrevb.80.134423

Magnetic properties of the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>=</mml:mo><mml:mstyle scriptlevel="1"><mml:mfrac bevelled="false"><mml:mn>3</mml:mn><mml:mn>2</mml:mn></mml:mfrac></mml:mstyle></mml:mrow></mml:math>geometrically frustrated double perovskites<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mtext>La</mml:mtext></mml:mrow><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mrow><mml:mtext>LiRuO</mml:mtext></mml:mrow><mml:mn>6</mml:mn></mml:msub></mml:mrow></mml:math>and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mtext>Ba</mml:mtext></mml:mrow><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mrow><mml:mtext>YRuO</mml:mtext></mml:mrow><mml:mn>6</mml:mn></mml:msub></mml:mrow></mml:math>

2009· article· lv· W1975115087 on OpenAlexafffund
Tomoko Aharen, John E. Greedan, Fanlong Ning, Takashi Imai, Vladimir K. Michaelis, Scott Kroeker, Haidong Zhou, C. R. Wiebe, L. M. D. Cranswick

Bibliographic record

VenuePhysical Review B · 2009
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsUniversity of ManitobaAtomic Energy (Canada)Canadian Institute for Advanced ResearchBrockhouse Institute for Materials ResearchMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaDivision of Materials ResearchMcMaster UniversityNational Science Foundation
KeywordsHeat capacityAntiferromagnetismMagnetic susceptibilityPhysicsFrustrationNeutron diffractionCrystallographyCondensed matter physicsNuclear magnetic resonanceDiffractionChemistryThermodynamicsQuantum mechanics

Abstract

fetched live from OpenAlex

Two $B$-site ordered double perovskites, ${\text{Ba}}_{2}{\text{YRuO}}_{6}$ and ${\text{La}}_{2}{\text{LiRuO}}_{6}$, have been reinvestigated as part of a systematic study of geometric magnetic frustration in this class of oxide materials. Both involve ${\text{Ru}}^{5+}(4{d}^{3},S=3/2)$ as the magnetic ion residing on a face-centered-cubic lattice---one of the canonical frustrated lattices. Results from dc susceptibility, neutron-diffraction, heat-capacity, $^{7}\text{L}\text{i}$ and $^{89}\text{Y}$ NMR studies are presented. ${\text{La}}_{2}{\text{LiRuO}}_{6}$ $(P{2}_{1}/n)$ shows long-range antiferromagnetic order below 24 K from $^{7}\text{L}\text{i}$ NMR, heat-capacity and magnetic-susceptibility (Fisher's heat-capacity) data which is well below the susceptibility maximum at 30 K. Analysis of the entropy loss and the $^{7}\text{L}\text{i}$ data indicates the importance of short-range spin correlations at higher temperatures, consistent with a frustrated system. ${\text{Ba}}_{2}{\text{YRuO}}_{6}$ retains $Fm3m$ symmetry found at room temperature down to 2.8 K with cell constants, $a=8.33559(9)$ and $a=8.3239(5)\text{ }\text{\AA{}}$, respectively. However, $^{89}\text{Y}$ magic-angle-spinning NMR detects a very low $\ensuremath{\sim}1%$ site mixing between Y and Ru ions. Magnetic-susceptibility data are more complex than reported previously with two broad peaks around 37 and 47 K. The transition temperature is 36 K from heat capacity and variable-temperature neutron-diffraction data. The Weiss temperatures and frustration indices, $|\ensuremath{\theta}|/{T}_{\text{N}}$, for ${\text{Ba}}_{2}{\text{YRuO}}_{6}$ are $\ensuremath{-}522$ K and 16 while much smaller values are observed for ${\text{La}}_{2}{\text{LiRuO}}_{6}$, $\ensuremath{-}184$ K and 8, which can be attributed to the monoclinic structural distortion in the latter which weakens the superexchange interactions.

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)0.001
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 score0.048
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0480.008

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 head0.020
GPT teacher head0.250
Teacher spread0.230 · 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

Citations94
Published2009
Admission routes2
Has abstractyes

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