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Magnetic order and spin liquid behavior in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mo>[</mml:mo><mml:msub><mml:mrow><mml:mi>Mo</mml:mi></mml:mrow><mml:mn>3</mml:mn></mml:msub><mml:mo>]</mml:mo></mml:mrow><mml:mrow><mml:mn>11</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math> molecular magnets

2022· article· lv· W4293238719 on OpenAlexafffund
Qiang Chen, Ryan Sinclair, Arash Akbari-Sharbaf, Qing Huang, Zhiling Dun, Eun Sang Choi, Martin Mourigal, A. Verrier, Redha Rouane, Xavier Bazier-Matte, J. A. Quilliam, A. A. Aczel, Haidong Zhou

Bibliographic record

VenuePhysical Review Materials · 2022
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsInstitut quantiqueUniversité de Sherbrooke
FundersOak Ridge National LaboratoryNatural Sciences and Engineering Research Council of CanadaNational High Magnetic Field LaboratoryTRIUMFU.S. Department of EnergyDivision of Materials ResearchOffice of ScienceNational Science Foundation
KeywordsUnpaired electronTrimerCondensed matter physicsMaterials scienceSpin (aerodynamics)Order (exchange)PhysicsMoleculeQuantum mechanicsNuclear magnetic resonanceThermodynamicsDimer

Abstract

fetched live from OpenAlex

Molecular magnets with one unpaired electron per molecule offer promise in the ongoing search for exotic states of matter, including quantum spin liquids. Here, the authors investigate a series of molecular magnets based on Mo trimer building blocks with one unpaired electron each and find that the magnetic ground states are very sensitive to small changes in the breathing parameter---the ratio between first and second nearest neighbor bond lengths in the breathing kagome lattice that they form. When this parameter is sufficiently close to 1, these materials show an absence of magnetic order and other hallmarks of quantum spin liquid behavior, which may be correlated with plaquette charge ordering.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, 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 score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0030.006
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0010.003
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0050.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.5030.005

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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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

Citations11
Published2022
Admission routes2
Has abstractyes

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