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Record W2096652072 · doi:10.1134/s0020168511040108

Facile and green synthesis of ZnO nanostructures in a room-temperature ionic liquid 1-hexyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide

2011· article· en· W2096652072 on OpenAlex
Elaheh K. Goharshadi, Yulong Ding, Xiaojun Lai, Paul Nancarrow

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

VenueInorganic Materials · 2011
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsQueen's University
FundersEngineering and Physical Sciences Research Council
KeywordsIonic liquidImideBromideScanning electron microscopeNanoparticleMaterials scienceTransmission electron microscopyZincChemical engineeringNanostructurePowder diffractionInorganic chemistryNanotechnologyOrganic chemistryChemistryPolymer chemistryCrystallographyCatalysisComposite material

Abstract

fetched live from OpenAlex

Pure hexagonal phase of ZnO nanoparticles have been successfully synthesized via microwave assisted decomposition of zinc acetate precursor in a green solvent, the ionic liquid, 1-hexyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide in a very short time scale. The ZnO nanoparticles were characterized by powder X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and selected area electron diffraction. The effects of irradiation time and use of the surfactant, cetyltrimethylammonium bromide on the size and morphology of ZnO nanoparticles were examined. Based on the experimental observations, a possible growth mechanism was put forward to explain the formation of ZnO nanoparticles.

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 categoriesInsufficient payload (model declined to judge)
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 score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.013
GPT teacher head0.204
Teacher spread0.190 · 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