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Hidden Charge Order in an Iron Oxide Square-Lattice Compound

2021· article· en· W3191579159 on OpenAlexaff
Jung-Hwa Kim, Darren C. Peets, M. Reehuis, Péter Adler, A. Maljuk, T. Ritschel, Morgan C. Allison, J. Geck, J. R. L. Mardegan, Pablo J. Bereciartua Perez, Sonia Francoual, A. C. Walters, T. Keller, Paula M. Abdala, Philip Pattison, P. Dosanjh, B. Keimer

Bibliographic record

VenuePhysical Review Letters · 2021
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsUniversity of British Columbia
FundersNatural Science Foundation of Zhejiang ProvinceDeutsches Elektronen-SynchrotronFondation pour la Recherche MédicaleNational Natural Science Foundation of ChinaChinese Academy of SciencesEuropean Synchrotron Radiation FacilityDeutsche ForschungsgemeinschaftHelmholtz-Gemeinschaft
KeywordsNeutron diffractionCharge orderingCondensed matter physicsSuperstructureDisproportionationMössbauer spectroscopyOrder (exchange)Charge (physics)DiffractionNeutron scatteringMaterials scienceSpectroscopyCrystallographyLattice (music)Strongly correlated materialScatteringPhysicsElectronChemistryOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

Since the discovery of charge disproportionation in the FeO_{2} square-lattice compound Sr_{3}Fe_{2}O_{7} by Mössbauer spectroscopy more than fifty years ago, the spatial ordering pattern of the disproportionated charges has remained "hidden" to conventional diffraction probes, despite numerous x-ray and neutron scattering studies. We have used neutron Larmor diffraction and Fe K-edge resonant x-ray scattering to demonstrate checkerboard charge order in the FeO_{2} planes that vanishes at a sharp second-order phase transition upon heating above 332 K. Stacking disorder of the checkerboard pattern due to frustrated interlayer interactions broadens the corresponding superstructure reflections and greatly reduces their amplitude, thus explaining the difficulty of detecting them by conventional probes. We discuss the implications of these findings for research on "hidden order" in other materials.

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 categoriesInsufficient payload (model declined to judge)
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 score0.131
Threshold uncertainty score1.000

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)0.0010.001

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 head0.029
GPT teacher head0.317
Teacher spread0.288 · 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.

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

Citations13
Published2021
Admission routes1
Has abstractyes

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