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Record W2316329631 · doi:10.1021/jp404444p

Spatially Sequential Growth of Various WSi<sub>2</sub> Networked Nanostructures and Mechanisms

2013· article· en· W2316329631 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.

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor materials and interfaces
Canadian institutionsWestern University
Fundersnot available
KeywordsNanostructureNanorodMaterials scienceNanotechnologyChemical vapor depositionElectrochemistryTransmission electron microscopyScanning electron microscopeChemical engineeringElectrodeChemistry

Abstract

fetched live from OpenAlex

Various WSi 2 nanostructures including networked nanorods (NNWs), networked nanoribbons (NNRs), and nanosheets (NSs) were sequentially (spatial) synthesized in a controlled manner via a single-step chemical vapor deposition method. Their morphology, structure, and composition were characterized by scanning and transmission electron microscopes and X-ray diffraction. The nanostructures are 6–10 nm in thickness and several micrometers in length. The results reveal that the formation of WSi 2 nanostructures is governed by a vapor solid mechanism and the concentration of reactive species plays a crucial role in controlling the formation of the various morphologies of the synthesized nanostructures. The time-dependent growth study shows that the nanostructures feature two-dimensional growth of WSi 2, resulting in nanonets and nanosheets. Cyclic voltammetry measurements of these nanostructures demonstrate the chemical capacitance characteristics of WSi 2 nanosheets and nanoribbons. Not only has this study paved a new route for preparing various nanostructures, but also these nanostructures are of great interest for nanodevices and electrochemical 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.

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 score0.044
Threshold uncertainty score0.358

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 head0.005
GPT teacher head0.201
Teacher spread0.195 · 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