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Record W2203943096 · doi:10.1088/0953-8984/28/2/025401

Pressure-driven suppression of the Jahn–Teller effects and structural changes in cupric oxide

2015· article· en· W2203943096 on OpenAlexafffund
Michael J. Greschner, Ning Chen, Yansun Yao

Bibliographic record

VenueJournal of Physics Condensed Matter · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsUniversity of SaskatchewanCanadian Light Source (Canada)
FundersNatural Sciences and Engineering Research Council of CanadaWestern Canada Research GridCompute Canada
KeywordsSuperexchangeAntiferromagnetismMonoclinic crystal systemFerromagnetismCondensed matter physicsMultiferroicsMaterials scienceCubic crystal systemJahn–Teller effectCrystal structureMagnetic momentOxidePhase (matter)FerroelectricityCrystallographyIonChemistryPhysicsMetallurgy

Abstract

fetched live from OpenAlex

Multiferroics have been of interest as materials for use in data storage due to their coexisting ferroelectric and ferromagnetic properties. The properties of cupric oxide have been studied at pressures below 70 GPa, and it has even been suggested that it may be a room temperature multiferroic at pressures of 20 to 40 GPa. However, the properties of cupric oxide above these pressures have yet to be thoroughly examined. Here, we investigate changes in the crystal structure of cupric oxide via first principles methods. We find that the crystal structure transforms from a monoclinic structure at low pressure to a face-centred cubic and body-centred cubic structure at high pressure. We also find that the magnetic ordering switches from antiferromagnetic in the monoclinic phase to net zero magnetic moment in the face-centred cubic phase and ferromagnetic in the body-centred cubic phase. This shift in magnetic ordering is due to the superexchange interactions and Jahn-Teller instabilities, or the lack of thereof, arising from the d-orbital electrons of the cupric ions, which disrupt the mechanical stability of other possible magnetic orderings.

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 score0.039
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.216
Teacher spread0.205 · 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

Citations8
Published2015
Admission routes2
Has abstractyes

Explore more

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