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Record W4413948577 · doi:10.1063/5.0289400

Investigating conduction band stability in SrTiO3

2025· article· en· W4413948577 on OpenAlexafffund
Hira Tauqeer, John A. McLeod

Bibliographic record

VenueJournal of Applied Physics · 2025
Typearticle
Languageen
FieldMaterials Science
TopicElectronic and Structural Properties of Oxides
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanadian Light Source
KeywordsStability (learning theory)Conduction bandMaterials scienceThermal conductionCondensed matter physicsPhysicsComputer scienceNuclear physicsComposite materialElectron

Abstract

fetched live from OpenAlex

We present a comprehensive investigation of the electronic structure of SrTiO3 through experimental x-ray emission spectroscopy, x-ray absorption spectroscopy (XAS), and density functional theory calculations. Our results reveal that the electronic states near the band edges predominantly arise from hybridization between O 2p, Sr 4d, and Ti 3d orbitals. Comparison with binary constituents SrO and TiO2 shows that SrTiO3 exhibits intermediate electronic properties: many spectral features resemble those of the binary oxides, although distinct differences indicate that a simple additive description is only approximate. Core hole effects are minimal, with negligible exciting features presented in O K XAS, indicating efficient charge screening. Furthermore, our analysis of oxygen-deficient SrTiO3−x revealed robust electronic structures and high optical transparency, even with vacancy-induced shallow donor states and enhanced carrier concentrations. These findings highlight the resilience and defect-tolerance of SrTiO3, underscoring its promise for energy applications and oxide electronics.

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 score0.088
Threshold uncertainty score0.210

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)0.0000.000

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 head0.024
GPT teacher head0.253
Teacher spread0.228 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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