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Record W2322149547 · doi:10.1021/ie403718n

Synthesis of Titanium Dioxide/Cadmium Sulfide Nanosphere Particles for Photocatalyst Applications

2014· article· en· W2322149547 on OpenAlexaff
Thi Thuy Duong Vu, Frej Mighri, Abdellah Ajji, Trong‐On Do

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2014
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsPolytechnique MontréalCentre in Green Chemistry and CatalysisUniversité Laval
Fundersnot available
KeywordsNanorodPhotocatalysisNanocompositeTitanium dioxideCadmium sulfideMaterials scienceChemical engineeringNanoparticleVisible spectrumTin dioxideInorganic chemistryNanotechnologyChemistryCatalysisOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Semiconductor nanocomposites, which are composed of titanium dioxide (TiO 2 ) nanorods, cadmium sulphide (CdS) nanoparticles (NPs), and Ni clusters, were synthesized. The following steps were adopted: (i) surfactant-capped TiO 2 nanorods with controlled length were synthesized in an autoclave using oleic acid and amino hexanoic acid as surfactants. By using a ligand-exchange procedure, in which nitrosonium tetrafluoroborate (NOBF 4 ) was used to replace the original surfactants, hydrophilic NOBF 4 –TiO 2 nanorods were obtained; (ii) the resulting nanorods were deposited with CdS NPs and (iii) then deposited selectively with Ni clusters (as cocatalyst) on the nanocomposite surface. Under visible-light illumination of the nanocomposite, the generated electrons from the conduction band of CdS are transferred to TiO 2 via TiO 2 /CdS interface, then to metallic Ni cluster. As a result, the electron–hole separation was highly enhanced, leading to a Ni–TiO 2 /CdS nanocomposite with high photocatalytic performance for the production of hydrogen (H 2 ).

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)0.003
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 score0.126
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0010.000
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 head0.051
GPT teacher head0.326
Teacher spread0.275 · 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

Citations46
Published2014
Admission routes1
Has abstractyes

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