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Record W2180784836 · doi:10.1002/cjce.22400

Modelling of deactivation of Pd‐Au catalyst in vinyl acetate synthesis from oxidation of ethylene and acetic acid in the gaseous phase

2015· article· en· W2180784836 on OpenAlexaffvenue
Kazem Motahari, Garry L. Rempel, Saba Lashkarara, Keyhan Ghaseminezhad, Amin Borumandnejad, Babak Hatami

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCatalysisEthyleneAcetic acidVinyl acetateMonomerChemistryEthylene-vinyl acetatePhase (matter)Chemical engineeringInorganic chemistryOrganic chemistryCopolymerPolymer

Abstract

fetched live from OpenAlex

Abstract Vinyl acetate monomer (VAM) is produced from oxidation of ethylene and acetic acid on a Pd‐Au/SiO 2 catalyst in the gaseous phase. A progressive loss in activity occurs during the lifetime of a commercial Pd‐Au/SiO 2 VAM synthesis catalyst; thus, the efficiency of the reaction decreases and the process is no longer operational and economically feasible. In this study, the effective parameters on Pd‐Au/SiO 2 catalyst deactivation were investigated using a fixed‐bed reactor pilot, and a model was proposed to predict the reduction in catalyst activity. The proposed model's output was compared with experimental data and an acceptable agreement was observed. The error was < 10 %.

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 score0.064
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.230
Teacher spread0.201 · 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

Citations11
Published2015
Admission routes2
Has abstractyes

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