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Record W4388729241 · doi:10.1103/physrevb.108.184416

Tuning the confinement potential between spinons in the Ising chain compound <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>CoNb</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>6</mml:mn></mml:msub></mml:mrow></mml:math> using longitudinal fields and quantitative determination of the microscopic Hamiltonian

2023· article· lv· W4388729241 on OpenAlexfundno aff
Leonie Woodland, David Macdougal, I. Cabrera, J. D. Thompson, D. Prabhakaran, Robert Bewley, R. Coldea

Bibliographic record

VenuePhysical review. B./Physical review. B · 2023
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsnot available
FundersHorizon 2020Engineering and Physical Sciences Research CouncilScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaEuropean CommissionKavli Institute for Theoretical Physics, University of California, Santa BarbaraUniversity of OxfordLincoln College, University of OxfordEuropean Research CouncilNational Science Foundation
KeywordsSpinonIsing modelPhysicsZeeman effectHamiltonian (control theory)Inelastic neutron scatteringCondensed matter physicsScatteringNeutron scatteringMagnetic fieldQuantum mechanicsAntiferromagnetism

Abstract

fetched live from OpenAlex

The excitations on an Ising chain are domain walls (spinons), which can be confined into a Zeeman ladder of bound states by an applied magnetic field. Here, the authors report inelastic neutron scattering measurements of a quasi-one-dimensional Ising-like ferromagnet to probe the evolution of the spectrum with field, from weak confinement, where there are many closely spaced bound states, to strong confinement, where only two bound states remain. They also propose a model Hamiltonian that quantitatively reproduces all observed spectra.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.001

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 head0.307
Teacher spread0.278 · 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

Citations17
Published2023
Admission routes1
Has abstractyes

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Same venuePhysical review. B./Physical review. BSame topicAdvanced Condensed Matter PhysicsFrench-language works237,207