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Record W4298005239 · doi:10.1103/physrevb.106.115150

Stabilization of singlet hole-doped state in infinite-layer nickelate superconductors

2022· article· en· W4298005239 on OpenAlexafffund
Mi Jiang, Mona Berciu, G. A. Sawatzky

Bibliographic record

VenuePhysical review. B./Physical review. B · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsUniversity of British Columbia
FundersPriority Academic Program Development of Jiangsu Higher Education InstitutionsNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaNational Natural Science Foundation of China
KeywordsSuperconductivityDopingSinglet stateCondensed matter physicsMaterials scienceLayer (electronics)State (computer science)PhysicsAtomic physicsNanotechnologyComputer science

Abstract

fetched live from OpenAlex

Motivated by the recent x-ray absorption spectroscopy and resonant inelastic x-ray scattering (RIXS) experiments, we use a detailed impurity model to explore the nature of the parent compound and hole-doped states of (La, Nd, $\mathrm{Pr}){\mathrm{NiO}}_{2}$ by including the crystal field splitting, the $\mathrm{Ni}\text{\ensuremath{-}}3d$ multiplet structure, and the hybridization between $\mathrm{Ni}\text{\ensuremath{-}}3d, \mathrm{O}\text{\ensuremath{-}}2p$, and $\mathrm{Nd}\text{\ensuremath{-}}5d$ orbitals. For simplicity and stimulated by the recent electronic structure calculations, the latter are formally replaced with symmetric orbitals centered at the missing O sites in the Nd layer, forming a two-dimensional band strongly hybridizing with the $\mathrm{Ni}\text{\ensuremath{-}}3{d}_{{z}^{2}}^{9}$ state. This hybridization pushes the main part of the $3{d}_{{z}^{2}}^{9}$ spectral function up in energy by several eV and stabilizes the singlet with considerable ${d}_{{z}^{2}}^{9}$ and other configurational components. For the parent compound, we find that states of $\mathrm{Ni}\text{\ensuremath{-}}3{d}_{{z}^{2}}^{9}$ character spread over a large energy range in the spectra, and cannot and should not be represented by a single orbital energy, as suggested in other approximations. This is qualitatively consistent with the RIXS measurements showing a broad distribution of the $\mathrm{Ni}\text{\ensuremath{-}}3{d}_{{z}^{2}}^{9}$ hole state, although the shape of the $\mathrm{Ni}\text{\ensuremath{-}}3{d}_{{z}^{2}}^{9}$ related structure is much more complicated requiring reinterpretations of the RIXS data. For the hole-doped systems, we show that adding these additional ingredients can still result in the lowest-energy hole-doped state having a singlet character.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.341
Teacher spread0.313 · 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

Citations11
Published2022
Admission routes2
Has abstractyes

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