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Record W2314909052 · doi:10.1103/physrevb.88.014508

Electronic structure of copper pnictides: Influence of different cations and pnictogens

2013· article· en· W2314909052 on OpenAlexafffund
John A. McLeod, E.Z. Kurmaev, Israel Pérez, V. K. Anand, P. Kanchana Perera, D. C. Johnston, A. Moewes

Bibliographic record

VenuePhysical Review B · 2013
Typearticle
Languageen
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsRussian Academy of SciencesUniversity of Saskatchewan
KeywordsCopperElectronic structureFermi surfaceValence (chemistry)Fermi levelAbsorption spectroscopyMaterials scienceSpectral lineCondensed matter physicsAbsorption (acoustics)Electronic band structureValence bandSpectroscopyFermi Gamma-ray Space TelescopeAtomic physicsPhysicsBand gapElectronOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

We present calculated electronic structures and x-ray emission and absorption spectroscopy measurements of five copper pnictides. The x-ray emission and absorption spectra, which probe the occupied and unoccupied states, respectively, provide an empirical justification of the calculated electronic structure. We therefore verify the prediction that the copper 3$d$ states are fully occupied and buried deep in the valence band, and the Fermi surface of these materials is characterized by $s$,$p$ states. We show that generally the calculated electronic structure is in excellent agreement with our measurements. We finally examine the Fermi surfaces of these pnictides, and suggest that copper antimonides may exhibit efficient Fermi surface nesting similar to iron pnictides.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.304
Teacher spread0.292 · 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.

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

Citations5
Published2013
Admission routes2
Has abstractyes

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