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Record W2901669020 · doi:10.1103/physrevb.99.054516

Gauge theory for the cuprates near optimal doping

2019· article· en· W2901669020 on OpenAlexafffund
Subir Sachdev, Harley D. Scammell, Mathias S. Scheurer, Grigory Tarnopolsky

Bibliographic record

VenuePhysical review. B./Physical review. B · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsPerimeter Institute
FundersDivision of Materials ResearchMultidisciplinary University Research InitiativeArmy Research OfficeInstitut Périmètre de physique théoriqueDeutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der WissenschaftenIndustry CanadaFulbright AustraliaUS-UK Fulbright CommissionNational Science FoundationGovernment of CanadaCenovus EnergyU.S. Department of Energy
KeywordsCuprateCondensed matter physicsAntiferromagnetismSuperconductivityPhysicsHiggs bosonDopingGauge theoryGauge (firearms)Theoretical physicsQuantum mechanicsMaterials science

Abstract

fetched live from OpenAlex

Recent experiments have revealed remarkable new features of the optimal doping state of cuprate superconductors, namely, a peak in the specific heat for the hole-doped case and a state with Fermi pockets but only fluctuating antiferromagnetic order for the electron-doped case. The authors propose a unified SU(2) gauge theory with a Higgs field and demonstrate how it can explain these disparate phenomena by way of topological phase transitions and crossovers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.017
GPT teacher head0.352
Teacher spread0.335 · 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 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

Citations86
Published2019
Admission routes2
Has abstractyes

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