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Record W2945253667 · doi:10.1002/admi.201900547

Progress and Perspectives of Atomically Engineered Perovskite Oxide Interfaces for Electronics and Electrocatalysts

2019· article· en· W2945253667 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdvanced Materials Interfaces · 2019
Typearticle
Languageen
FieldMaterials Science
TopicElectronic and Structural Properties of Oxides
Canadian institutionsUniversity of SaskatchewanUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaHorizon 2020 Framework ProgrammeDanmarks Frie ForskningsfondEuropean Commission
KeywordsMaterials sciencePerovskite (structure)ElectronicsOxideNanotechnologyComplex oxideEngineering physicsChemical engineeringMetallurgyElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract The 2D electron gases (2DEGs) at the surfaces and interfaces of SrTiO 3 ‐based homo‐ and heterostructures provide new opportunities for electronics and spintronics. Herein, the recent progresses in the creation of advanced material systems of conducting oxide interfaces with engineered electronic reconstructions and redox reactions, as well as their characterization by a nondestructive resonant X‐ray reflectivity technique, are summarized. Moreover, the development of modulation‐doped high‐mobility oxide 2DEGs and the magnetic‐proximity‐induced spin‐polarized 2DEGs at oxide interfaces are also discussed. Finally, the perspectives on design of conducting oxide interfaces for a new generation of quantum devices and mixed electronic and ionic conducting electrocatalysts are addressed. Atomically engineered oxide interfaces will represent a unique family of quantum materials for future information and energy technologies.

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.

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 score0.013
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.230
Teacher spread0.223 · 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