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Record W1971524319 · doi:10.1021/ie020310l

Steady-State Multiplicity and Superadiabatic Extinction Waves in the Oxidation of CO/H<sub>2</sub> Mixtures over a Pt/Al<sub>2</sub>O<sub>3</sub>-Coated Monolith

2002· article· en· W1971524319 on OpenAlexafffund
Mingyong Sun, Eric Croiset, R. R. Hudgins, P.L. Silveston, Michael Menzinger

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2002
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of TorontoUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIgnition systemExtinction (optical mineralogy)ThermodynamicsHysteresisJumpSteady state (chemistry)ChemistryMaterials scienceAnalytical Chemistry (journal)MineralogyPhysical chemistryPhysicsChromatographyCondensed matter physics

Abstract

fetched live from OpenAlex

Steady-state multiplicity was observed in the catalytic oxidation of mixtures of H 2 and CO over a cordierite monolith wash-coated with Pt/Al 2 O 3. Increasing the CO concentration or decreasing the H 2 concentration across the hysteresis limit results in extinction, whereas decreasing the CO concentration or increasing the H 2 concentration across the other hysteresis limit causes ignition. CO inhibits the ignition of H 2, whereas H 2 assists the ignition of CO. Extinction of the reaction due to a step increase of CO or a step decrease of H 2 occurred in the form of a downstream-moving wave accompanied by a sharply localized superadiabatic temperature excursion. Axial temperatures were recorded by five equally spaced thermocouples. The superadiabatic rise in temperature and the speed of the extinction wave are related in a complex way to the size of the CO jump into the hysteresis zone. The greater the H 2 jump downward in concentration, the lower the maximum temperature and the greater the speed of the reaction front.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.047
GPT teacher head0.289
Teacher spread0.242 · 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.

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

Citations33
Published2002
Admission routes2
Has abstractyes

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