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Record W2980911904 · doi:10.1103/physrevb.101.195108

Slow magnetic fluctuations and critical slowing down in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Sr</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>Ir</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>Rh</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:mrow></mml:math>

2020· article· lv· W2980911904 on OpenAlexaff
Cheng Tan, Zhaofeng Ding, Jian Zhang, Zihao Zhu, O. O. Bernal, Pei-Chun Ho, A. D. Hillier, A. Koda, H. Luetkens, G. D. Morris, D. E. MacLaughlin, Lei Shu

Bibliographic record

VenuePhysical review. B./Physical review. B · 2020
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsTRIUMF
FundersAcademic Senate, University of California, RiversideDivision of Materials ResearchNational Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsMuonMuon spin spectroscopyPhysicsRelaxation (psychology)Spin (aerodynamics)Order (exchange)Condensed matter physicsField (mathematics)Nuclear magnetic resonanceNuclear physicsThermodynamics

Abstract

fetched live from OpenAlex

Hidden magnetic order in the correlated iridate ${\mathrm{Sr}}_{2}{\mathrm{Ir}}_{1\ensuremath{-}x}{\mathrm{Rh}}_{x}{\mathrm{O}}_{4}, x=0.05$ and 0.1, has been studied using muon spin relaxation spectroscopy. In zero field (ZF) and weak longitudinal fields (LFs) ($\ensuremath{\lesssim}2\phantom{\rule{0.16em}{0ex}}\mathrm{mT}$), the muon spin relaxation data indicate that static and dynamic local fields coexist at each muon site, and can be well described by exponentially damped static Lorentzian Kubo-Toyabe functions. The ZF relaxation rate is dominated by the static-field distribution, and a broad relaxation rate maximum at 175 K for $x=0.1$ in ZF is attributed to muon diffusion and trapping. For $\text{LF}\ensuremath{\gtrsim}2\phantom{\rule{0.16em}{0ex}}\mathrm{mT}$ the static rate is completely decoupled, and the exponential decay is due to dynamic spin fluctuations. The temperature dependencies of the relaxation rates exhibit maxima at 215 K ($x=0.05$) and 175 K ($x=0.1$), in agreement with previous second harmonic generation and polarized neutron diffraction determinations of transition temperatures to a hidden-order state. The maxima are most likely due to critical slowing down of electronic spin fluctuations. The field dependencies of the dynamic spin fluctuation rates can be well described by the Redfield relation, from which the rms width ${B}_{\mathrm{loc}}^{\mathrm{rms}}$ and correlation time ${\ensuremath{\tau}}_{\mathrm{c}}$ of the fluctuating field are obtained. Values of ${\ensuremath{\tau}}_{c}$ are in the range of 1.5--4 ns for $x=0.1$ and shorter than 2 ns for $x=0.05$, suggesting an increase with increasing Rh concentration. Values of ${B}_{\mathrm{loc}}^{\mathrm{rms}}$ are on the order of 1 mT, consistent with the polarized neutron diffraction cross section.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0040.009
Meta-epidemiology (broad)0.0020.009
Bibliometrics0.0020.007
Science and technology studies0.0060.007
Scholarly communication0.0050.006
Open science0.0090.009
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.7750.011

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2020
Admission routes1
Has abstractyes

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