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Record W2355433740

Assembling carbon nanotube/zinc sulfide composite films in aqueous solution

2006· article· en· W2355433740 on OpenAlexaff
Dongmei Fan, Shouai Feng, Zhu Zhenping

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicPolydiacetylene-based materials and applications
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsMaterials scienceWurtzite crystal structureComposite numberCarbon nanotubeAqueous solutionTransmission electron microscopyNanoparticleChemical engineeringZinc sulfidePhotocatalysisZincNanotechnologyNanocrystalComposite materialMetallurgyCatalysisOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

ZnS nanocrystal/CNT composite films were synthesized by the reaction of Na_2S with Zn(NO_3)_2 in an aqueous solution containing CNTs purified by 65% HNO_3. The composite films were characterized by transmission electron microscopy, X-ray diffraction, selected area electron diffraction and energy dispersive X-ray spectroscopy. Results show that the CNTs act as the framework of the composite films and the ZnS nanoparticles are either anchored on the surface of the CNTs or filled apertures in the CNT network. The ZnS nanoparticles have a well-crystallized wurtzite structure and a uniform diameter of around 5nm. The ZnS/CNT composite is expected to improve the photocatalytic ability of ZnS due to the unique conductive and wave absorptive properties of the CNTs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.229
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2006
Admission routes1
Has abstractyes

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Same topicPolydiacetylene-based materials and applicationsFrench-language works237,207