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Record W2786803765 · doi:10.1103/physrevb.97.224508

Disentangling superconducting and magnetic orders in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>NaFe</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi>Ni</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mi>As</mml:mi></mml:mrow></mml:math> using muon spin rotation

2018· article· lv· W2786803765 on OpenAlexaff
Sky C. Cheung, Zurab Guguchia, Benjamin A. Frandsen, Zizhou Gong, Kohtaro Yamakawa, Dalson Eloy Almeida, Ifeanyi John Onuorah, Pietro Bonfà, E. Miranda, Weiyi Wang, David W. Tam, Yu Song, Chongde Cao, Yipeng Cai, Alannah M. Hallas, M. N. Wilson, Timothy J. S. Munsie, G. M. Luke, Bijuan Chen, Guangyang Dai, Changqing Jin, Shengli Guo, Fanlong Ning, Rafael M. Fernandes, R. De Renzi, Pengcheng Dai, Y. J. Uemura

Bibliographic record

VenuePhysical review. B./Physical review. B · 2018
Typearticle
Languagelv
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsCanadian Institute for Advanced ResearchTRIUMFMcMaster University
FundersH2020 Research InfrastructuresBasic Energy SciencesJapan Atomic Energy AgencyScience and Technology Facilities CouncilOffice of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of ChinaWelch FoundationU.S. Department of EnergySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsCondensed matter physicsMagnetismAntiferromagnetismSuperconductivityPhase diagramMagnetic momentPhysicsMaterials sciencePhase (matter)Quantum mechanics

Abstract

fetched live from OpenAlex

Muon spin rotation and relaxation studies have been performed on a ``111'' family of iron-based superconductors, ${\mathrm{NaFe}}_{1\ensuremath{-}x}{\mathrm{Ni}}_{x}\mathrm{As}$, using single crystalline samples with Ni concentrations $x=0$, 0.4, 0.6, 1.0, 1.3, and 1.5%. Static magnetic order was characterized by obtaining the temperature and doping dependences of the local ordered magnetic moment size and the volume fraction of the magnetically ordered regions. For $x=0$ and 0.4%, a transition to a nearly-homogeneous long range magnetically ordered state is observed, while for $x\ensuremath{\gtrsim}0.4%$ magnetic order becomes more disordered and is completely suppressed for $x=1.5%$. The magnetic volume fraction continuously decreases with increasing $x$. Development of superconductivity in the full volume is inferred from Meissner shielding results for $x\ensuremath{\gtrsim}0.4%$. The combination of magnetic and superconducting volumes implies that a spatially-overlapping coexistence of magnetism and superconductivity spans a large region of the $T\ensuremath{-}x$ phase diagram for ${\mathrm{NaFe}}_{1\ensuremath{-}x}{\mathrm{Ni}}_{x}\mathrm{As}$. A strong reduction of both the ordered moment size and the volume fraction is observed below the superconducting ${T}_{\mathrm{C}}$ for $x=0.6$, 1.0, and 1.3%, in contrast to other iron pnictides in which one of these two parameters exhibits a reduction below ${T}_{\mathrm{C}}$, but not both. The suppression of magnetic order is further enhanced with increased Ni doping, leading to a reentrant nonmagnetic state below ${T}_{\mathrm{C}}$ for $x=1.3%$. The reentrant behavior indicates an interplay between antiferromagnetism and superconductivity involving competition for the same electrons. These observations are consistent with the sign-changing ${s}^{\ifmmode\pm\else\textpm\fi{}}$ superconducting state, which is expected to appear on the verge of microscopic coexistence and phase separation with magnetism. We also present a universal linear relationship between the local ordered moment size and the antiferromagnetic ordering temperature ${T}_{\mathrm{N}}$ across a variety of iron-based superconductors. We argue that this linear relationship is consistent with an itinerant-electron approach, in which Fermi surface nesting drives antiferromagnetic ordering. In studies of superconducting properties, we find that the $T=0$ limit of superfluid density follows the linear trend observed in underdoped cuprates when plotted against ${T}_{\mathrm{C}}$. This paper also includes a detailed theoretical prediction of the muon stopping sites and provides comparisons with experimental results.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.288

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0050.005
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0860.014

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 head0.030
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2018
Admission routes1
Has abstractyes

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