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Record W4377092806 · doi:10.1103/physrevb.107.174517

Superconducting ground state study of the valence-skipped compound <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>AgSnSe</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>

2023· article· lv· W4377092806 on OpenAlexafffund
Anshu Kataria, Arushi, S. Sharma, Tarun Agarwal, M. Pula, J. Beare, Sungwon Yoon, Yipeng Cai, Kenji Kojima, G. M. Luke, R. P. Singh

Bibliographic record

VenuePhysical review. B./Physical review. B · 2023
Typearticle
Languagelv
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsUniversity of British ColumbiaTRIUMFMcMaster University
FundersScience and Engineering Research BoardNatural Sciences and Engineering Research Council of CanadaCouncil of Scientific and Industrial Research, India
KeywordsMuon spin spectroscopySuperconductivityValence (chemistry)PhysicsCondensed matter physicsGround stateAtomic physicsQuantum mechanics

Abstract

fetched live from OpenAlex

Valence-skipped superconductors are natural candidates for unconventional superconductivity because they can exhibit a negative effective, attractive interaction for electron pairing. This work reports comprehensive x-ray diffraction, magnetization, specific heat, and muon spin rotation and relaxation measurements ($\ensuremath{\mu}\mathrm{SR}$) on the valence-skipped compound ${\mathrm{AgSnSe}}_{2}$. The temperature dependences of the electronic specific heat $[{C}_{\mathrm{el}}(T)]$ and the upper critical field $[{H}_{c2}(T)]$ provide evidence of two-gap superconductivity, which is also confirmed by our transverse-field $\ensuremath{\mu}\mathrm{SR}$ measurements. Zero-field $\ensuremath{\mu}\mathrm{SR}$ measurements reveal at most a slight increase $[\ensuremath{\sim}0.002(1)\phantom{\rule{3.33333pt}{0ex}}\ensuremath{\mu}{\text{s}}^{\ensuremath{-}1}]$ in relaxation in the superconducting state, much less than reported in a range of superconductors with broken time-reversal symmetry. Further measurements with greatly improved statistics will be required to make a definitive determination of the possible presence of broken time-reversal symmetry.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.003
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0040.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.008

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 head0.047
GPT teacher head0.333
Teacher spread0.286 · 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

Citations5
Published2023
Admission routes2
Has abstractyes

Explore more

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