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Record W2019939380 · doi:10.1021/ie900971p

Multiobjective Optimization of a Porous Ceramic Membrane Reactor for Oxidative Coupling of Methane

2010· article· en· W2019939380 on OpenAlex

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

VenueIndustrial & Engineering Chemistry Research · 2010
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysis and Oxidation Reactions
Canadian institutionsWestern University
Fundersnot available
KeywordsOxidative coupling of methaneMulti-objective optimizationSortingCeramicParametric statisticsGenetic algorithmCoupling (piping)MembranePorosityMethaneMaterials scienceSelectivityChemical engineeringBiological systemChemistryMathematical optimizationComputer scienceMathematicsAlgorithmEngineeringComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Multiobjective optimization of a porous ceramic membrane reactor for oxidative coupling of methane has been studied with the elitist nondominated sorting genetic algorithm with jumping genes (NSGA-II-aJG). A mathematical model was first developed and “tuned” using some experimental results available in the literature. A parametric sensitivity analysis was carried out on the experimentally verified model to systematically investigate the effects of the process parameters on the performance of the membrane reactor. Several two objective optimization problems were performed at both operating and design stages using NSGA-II-aJG. Significant performance improvement in terms of C 2 yield and selectivity could be achieved when rigorous optimization was performed.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 science0.0000.000
Research integrity0.0000.001
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 head0.059
GPT teacher head0.334
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