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Record W7056140836

Direct ethylenene oxyfluorination with perovskite-like materials

2007· article· en· W7056140836 on OpenAlexaboutno aff

Bibliographic record

VenueArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2007
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
Fundersnot available
KeywordsCatalysisTernary operationEthyleneFluorideLabilityHydrocarbonPerovskite (structure)ThermalMetalFluorine
DOInot available

Abstract

fetched live from OpenAlex

With the target of decreasing the ozone depletion layer, hydro fluorocarbons have been proposed as CFC and HCFC substitutes since 1987 through the Montreal Protocol. At present, these products are industrially produced by reaction of a chlorinated hydrocarbon with HF. However, there is still some environmental concern with such processes, because of the production of huge amounts of HCl and the possibility of generating dioxins and chlorinated compounds. A possible alternative to develop an environmentally sustainable process to produce fluorinated alkenes is the direct fluorination of olefins with fluorinated solids. According to literature data [1] AgF has a mild fluorinating activity towards the target molecules, however due to its high thermal lability AgF has to be stabilized in a ternary structure with, i.e. CuF2. 
\nWe synthesised several perovskite like materials according to the method reported in [1] and characterised them using X-ray diffraction spectroscopy. We observed that, after thermal treatment, the equimolar mixture of the two fluorides yields to the AgCuF3 compound even though this synthesis also leads to the formation of small quantities of Ag and Cu oxides. Catalytic tests carried out with the single metal fluorides - AgF and CuF2 - and with the ternary compound show that: i) CuF2 has a slight oxyfluorinating activity towards ethylene, ii ) AgF decomposes to Ag° during the stabilizing thermal treatment previously to the catalytic tests and shows high ethylene conversion to non-fluorinated compounds, iii) AgCuF3 shows the highest catalytic activity in vinyl fluoride formation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.016
GPT teacher head0.222
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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