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Record W3125383604 · doi:10.1021/acs.nanolett.0c03850

Spatially Controlled Octahedral Rotations and Metal–Insulator Transitions in Nickelate Superlattices

2021· article· en· W3125383604 on OpenAlexafffund
Binbin Chen, Nicolas Gauquelin, Robert J. Green, Jin Hong Lee, Cínthia Piamonteze, Matjaž Spreitzer, Daen Jannis, Johan Verbeeck, Manuel Bibès, Mark Huijben, Guus Rijnders, Gertjan Koster

Bibliographic record

VenueNano Letters · 2021
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsUniversity of SaskatchewanUniversity of British Columbia
FundersFP7 Ideas: European Research CouncilFonds Wetenschappelijk OnderzoekCanadian Institutes of Health ResearchNational Research Council CanadaMinistère de l'Enseignement supérieur, de la Recherche et de l'InnovationUniversiteit AntwerpenUniversité Paris-SaclayH2020 European Institute of Innovation and TechnologyCentre National de la Recherche ScientifiqueVlaamse regeringJavna Agencija za Raziskovalno Dejavnost RSMinistère de l'Europe et des Affaires ÉtrangèresMinisterie van Onderwijs, Cultuur en WetenschapPaul Scherrer InstitutCanada Foundation for InnovationNetherlands Organization for International Cooperation in Higher EducationKoninklijke Nederlandse Akademie van WetenschappenEuropean CommissionUniversity of TwenteNatural Sciences and Engineering Research Council of CanadaCanadian Light SourceGovernment of SaskatchewanInstitut "Jožef Stefan"Stewart Blusson Quantum Matter Institute, University of British ColumbiaUniversity of Saskatchewan
KeywordsSuperlatticeTetragonal crystal systemMaterials scienceOctahedronCondensed matter physicsAntiferromagnetismSuperstructureTransmission electron microscopyMetal–insulator transitionCrystallographyMetalTransition metalNanotechnologyChemistryCrystal structureOptoelectronics

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide The properties of correlated oxides can be manipulated by forming short-period superlattices since the layer thicknesses are comparable with the typical length scales of the involved correlations and interface effects. Herein, we studied the metal–insulator transitions (MITs) in tetragonal NdNiO 3 /SrTiO 3 superlattices by controlling the NdNiO 3 layer thickness, n in the unit cell, spanning the length scale of the interfacial octahedral coupling. Scanning transmission electron microscopy reveals a crossover from a modulated octahedral superstructure at n = 8 to a uniform nontilt pattern at n = 4, accompanied by a drastically weakened insulating ground state. Upon further reducing n the predominant dimensionality effect continuously raises the MIT temperature, while leaving the antiferromagnetic transition temperature unaltered down to n = 2. Remarkably, the MIT can be enhanced by imposing a sufficiently large strain even with strongly suppressed octahedral rotations. Our results demonstrate the relevance for the control of oxide functionalities at reduced dimensions.

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 score0.008

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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

Citations42
Published2021
Admission routes2
Has abstractyes

Explore more

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