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Record W2002194155 · doi:10.1021/ie0011425

Permeability, Selectivity, and Testing of Hydrogen Diffusion Membranes Suitable for Use in Steam Reforming

2001· article· en· W2002194155 on OpenAlex
Kai Jarosch, Hugo de Lasa

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2001
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHydrogenPermeationMembraneChemical engineeringPermeability (electromagnetism)Steam reformingSelectivityPalladiumArgonCatalysisMethaneMaterials scienceChemistryHydrogen productionOrganic chemistry

Abstract

fetched live from OpenAlex

Three composite hydrogen-permeable membranes were produced by the electroless deposition of palladium on macroporous Inconel. The permeability and selectivity for hydrogen to argon was assessed over the range 750−850 °C using a 156-μm-thick membrane. The permeability coefficient was 1.874 × 10 -6 mol/(m s kPa 0.5 ), with an activation energy of 22.6 kJ/mol. Membranes produced by the electroless technique exhibited hydrogen/argon molar selectivities in the range (336−1187):1. Two membranes were used to assess the effect of hydrogen permeation on the conversion of methane over a 20 wt % Ni/α-alumina catalyst in a CREC riser simulator used to model a fast fluidized bed. Hydrogen permeation from the reactor produced conversions in excess of those attainable at equilibrium and favorably modified the composition of the synthesis gas.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
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 score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
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 head0.127
GPT teacher head0.331
Teacher spread0.204 · 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