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Record W4383217829 · doi:10.1103/physrevb.108.024402

Sublattice extraordinary-log phase and special points of the antiferromagnetic Potts model

2023· article· en· W4383217829 on OpenAlexfundno aff
Zhang Li-ru, Chengxiang Ding, Wanzhou Zhang, Long Zhang

Bibliographic record

VenuePhysical review. B./Physical review. B · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaMinistry of Colleges and UniversitiesChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsPotts modelAntiferromagnetismChiral Potts curveCondensed matter physicsPhase (matter)PhysicsMaterials sciencePhase transitionQuantum mechanics

Abstract

fetched live from OpenAlex

We study the surface criticality of a three-state antiferromagnetic Potts model on a simple cubic lattice, whose bulk critical behavior belongs to the universality class of the XY model because of emergent O(2) symmetry. We find that the surface antiferromagnetic next-nearest-neighboring interactions can drive the extraordinary-log phase to an ordinary phase, and the transition between the two phases belongs to the universality class of the well-known special transition of the XY model. Further enhancing the surface next-nearest-neighboring interactions, the extraordinary-log phase reappears, but the main critical behaviors are shown in the sublattices; the special point between the ordinary phase and the sublattice extraordinary-log phase belongs to a different universality class.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.364
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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