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Record W2330314989 · doi:10.1021/ie5042287

Synthesis and Characterization of Template-Free VS<sub>4</sub> Nanostructured Materials with Potential Application in Photocatalysis

2015· article· en· W2330314989 on OpenAlexafffund
Gregory Lui, Gaopeng Jiang, Aoshu Duan, Josh Broughton, Jason Zhang, Michael Fowler, Aiping Yu

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2015
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of OttawaUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhotocatalysisMaterials scienceScanning electron microscopeChemical engineeringGrapheneCharacterization (materials science)OxideCatalysisNanotechnologyChemistryComposite materialOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

Since its discovery, little work has been done on the vanadium chalcogenide VS 4 . Recently, a facile method for synthesizing VS 4 was discovered using a graphitic template. Here we show for the first time that template-free VS 4 can be synthesized in a hydrothermal reaction by controlling key parameters of the reaction: mainly time, temperature, and pH. The phase and morphology of VS 4 materials are tracked carefully using X-ray diffraction (XRD) and scanning electron microscopy (SEM) under each reaction condition. It is found that lower reaction temperatures and longer reaction times are sufficient to form VS 4 crystals, while variations in pH do not appear to greatly affect VS 4 crystallinity but rather surface area and morphology. By use of optimized reaction parameters, further characterization shows template-free VS 4 to be comparable with VS 4 templated with graphene oxide. Initial photocatalytic testing of these materials shows that VS 4 has the potential to be used in photocatalysis.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.028
GPT teacher head0.271
Teacher spread0.243 · 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

Citations64
Published2015
Admission routes2
Has abstractyes

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