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Record W2800797049 · doi:10.1038/s41598-018-25656-6

Natural and induced growth of VO2 (M) on VO2 (B) ultrathin films

2018· article· en· W2800797049 on OpenAlexafffund
Nicolas Émond, Badr Torriss, Mohamed Chaker

Bibliographic record

VenueScientific Reports · 2018
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologies
KeywordsMaterials scienceThin filmSubstrate (aquarium)Phase (matter)Lattice constantSurface finishHeterojunctionNanotechnologyChemistryOptoelectronicsOpticsComposite material

Abstract

fetched live from OpenAlex

Abstract This work examines the synthesis of single phase VO 2 (B) thin films on LaAlO 3 (100) substrates, and the naturally-occurring and induced subsequent growth of VO 2 (M) phase on VO 2 (B) films. First, the thickness ( t ) dependence of structural, morphological and electrical properties of VO 2 films is investigated, evidencing that the growth of VO 2 (B) phase is progressively replaced by that of VO 2 (M) when t > ~11 nm. This change originates from the relaxation of the substrate-induced strain in the VO 2 (B) films, as corroborated by the simultaneous increase of surface roughness and decrease of the c-axis lattice parameter towards that of bulk VO 2 (B) for such films, yielding a complex mixed-phase structure composed of VO 2 (B)/VO 2 (M) phases, accompanied by the emergence of the VO 2 (M) insulator-to-metal phase transition. Second, the possibility of inducing this phase conversion, through a proper surface modification of the VO 2 (B) films via plasma treatment, is demonstrated. These natural and induced VO 2 (M) growths not only provide substantial insights into the competing nature of phases in the complex VO 2 polymorphs system, but can also be further exploited to synthesize VO 2 (M)/VO 2 (B) heterostructures at the micro/nanoscale for advanced electronics and energy applications.

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)0.002
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 score0.014
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.016
GPT teacher head0.249
Teacher spread0.233 · 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

Citations25
Published2018
Admission routes2
Has abstractyes

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