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Record W2051987640 · doi:10.1103/physrevb.81.012503

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mtext>A</mml:mtext><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>75</mml:mn></mml:mrow></mml:mmultiscripts><mml:mtext>s</mml:mtext></mml:mrow></mml:math>NMR study of single crystals of the heavily overdoped pnictide superconductors<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mtext>Ba</mml:mtext></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mtext>K</mml:mtext><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mrow><mml:mtext>Fe</mml:mtext></mml:mrow><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mrow><mml:mtext>As</mml:mtext></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math>(<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn>0.7</mml:mn></mml:mrow></mml:math>and 1)

2010· article· lv· W2051987640 on OpenAlexaff
S. W. Zhang, Long Ma, Yu-Bo Hou, J. Zhang, Tian‐Long Xia, Genfu Chen, Jiangping Hu, G. M. Luke, Weiqiang Yu

Bibliographic record

VenuePhysical Review B · 2010
Typearticle
Languagelv
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsMcMaster UniversityCanadian Institute for Advanced Research
Fundersnot available
KeywordsPhysicsKnight shiftCondensed matter physicsDopingRelaxation (psychology)Type (biology)Scaling lawCrystallographyScalingSuperconductivityChemistryGeometryMathematics

Abstract

fetched live from OpenAlex

We performed $^{75}\text{A}\text{s}$ NMR studies on two overdoped high-quality ${\text{Ba}}_{1\ensuremath{-}x}{\text{K}}_{x}{\text{Fe}}_{2}{\text{As}}_{2}$ ($x=0.7$ and 1.0) single crystals. In the normal states, we found a dramatic increase in the spin-lattice relaxation $(1/{^{75}T}_{1})$ from the $x=0.7$ to the $x=1.0$ samples. In ${\text{KFe}}_{2}{\text{As}}_{2}$, the ratio of $1/{^{75}T}_{1}T{K}_{n}^{2}$, where ${^{75}K}_{n}$ is the Knight shift, increases as temperature drops. These results indicate the existence of another type of spin fluctuations in ${\text{KFe}}_{2}{\text{As}}_{2}$ which is accustomed to being treated as a simple Fermi liquid. In the superconducting state, the temperature scalings of $1/{^{75}T}_{1}$ below ${T}_{c}$ in the overdoped samples are significantly different from those in the under or optimally doped ones. A power-law scaling behavior $1/{^{75}T}_{1}T\ensuremath{\sim}{T}^{0.5}$ is observed, which indicates universal strong low-energy excitations in the overdoped hole-type superconductors.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
Teacher disagreement score0.658
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6580.691

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 head0.027
GPT teacher head0.270
Teacher spread0.243 · 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.

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

Citations46
Published2010
Admission routes1
Has abstractyes

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Same venuePhysical Review BSame topicIron-based superconductors researchFrench-language works237,207