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Record W2098372489 · doi:10.1103/physrevb.92.180404

Quantum phase transitions and decoupling of magnetic sublattices in the quasi-two-dimensional Ising magnet<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Co</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">V</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>8</mml:mn></mml:msub></mml:mrow></mml:math>in a transverse magnetic field

2015· article· lv· W2098372489 on OpenAlexafffund
Katharina Fritsch, G. Ehlers, K. C. Rule, K. Habicht, M. Ramazanoglu, H. A. Dabkowska, B. D. Gaulin

Bibliographic record

VenuePhysical Review B · 2015
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsCanadian Institute for Advanced ResearchBrockhouse Institute for Materials ResearchMcMaster University
FundersOak Ridge National LaboratoryNatural Sciences and Engineering Research Council of CanadaU.S. Department of Energy
KeywordsIsing modelCondensed matter physicsPhysicsQuantum phase transitionPhase transitionFerromagnetismMagnetic fieldQuantumMagnetQuantum mechanics

Abstract

fetched live from OpenAlex

The authors present the first example of a quasi-2D experimental realization of a transverse field Ising model, which is one of the canonical examples of a quantum phase transition driven by quantum mechanical fluctuations induced by a magnetic field applied perpendicular to the preferred direction of the magnetic moments. Experimental realizations of this model are rare, and include the prominently discussed quasi-1D Ising chain system CoNb${}_{2}$O${}_{6}$, and the 3D dipolar-coupled Ising ferromagnet LiHoF${}_{4}$, but the experimental realization of a quasi-2D system has been lacking until now.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Empirical
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.004
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0020.003
Open science0.0040.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.4730.002

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 head0.021
GPT teacher head0.271
Teacher spread0.250 · 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
Published2015
Admission routes2
Has abstractyes

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