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Record W3165664361 · doi:10.1002/pssa.202100165

Size‐Dependent Insulator‐to‐Metal and Metal‐to‐Insulator Phase Transitions in VO<sub>2</sub> Microrods Grown on a Silicon Substrate

2021· article· en· W3165664361 on OpenAlexafffund
Cyril Koughia, Ozan Güneş, Chunzi Zhang, Shi-Jie Wen, Q. Yang, Safa Kasap

Bibliographic record

Venuephysica status solidi (a) · 2021
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaSilicon Valley Community Foundation
KeywordsMaterials scienceSiliconScatteringSubstrate (aquarium)Silicon on insulatorMetalMetal–insulator transitionCondensed matter physicsInsulator (electricity)Phase transitionWavelengthOptoelectronicsOpticsMetallurgyPhysics

Abstract

fetched live from OpenAlex

Light scattering from VO 2 microrods (MRs) synthesized on a silicon substrate is studied as a function of temperature and wavelength through the insulator‐to‐metal (IMT) and the metal‐to‐insulator (MIT) transitions. Light scattering exhibits substantial and reproducible changes. By focusing the light on individual MRs, it is shown that for small‐sized MRs (&lt;1 × 10 μm), the IMT and MIT are very sharp with transition temperatures varying within 31–64 °C (IMT) and within 58–76 °C (MIT). In contrast, for large‐sized MRs (≈4 × 40 μm), only the IMT at 68 °C is sharp, whereas MIT is stretched with a prominent low‐temperature shoulder at 35–50 °C. The observed phenomena are assumed to be connected with the external substrate‐induced mechanical stress emerging during the phase transition. A simple model is developed to explain both the temperature‐stretched MIT and the low‐temperature shoulder.

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 categoriesMeta-epidemiology (narrow)
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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.

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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

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