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Record W2047127363 · doi:10.1063/1.1590410

Two-region model of CH4, CO, CO2, and H2O formation in graphite due to simultaneous irradiation by O+ and H+

2003· article· en· W2047127363 on OpenAlexafffund
Allen Y.K. Chen, A.A. Haasz, Jim Davis

Bibliographic record

VenueJournal of Applied Physics · 2003
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGraphiteIrradiationMethaneYield (engineering)Flux (metallurgy)BreakupKinetic energyIonChemistryChemical reactionThermodynamicsMaterials sciencePhysical chemistryPhysicsNuclear physicsOrganic chemistry

Abstract

fetched live from OpenAlex

Based on our experimental studies of the simultaneous O+ and H+ irradiation of graphite, symbolically represented as the O+-H+→C reaction system, we have developed a semiempirical kinetic model for describing the reactions leading to the formation of the reaction products CH4, CO, CO2, and H2O. The model builds on previously proposed concepts for methane formation via intermediate precursor generation and a “two-region” description of the graphite microstructure. These concepts have been extended to include intermediate precursor-containing steps for the formation of CO, CO2, and H2O, and the breakup of CH4 by the incident ions. Model predictions of the flux and energy dependence of the CH4, CO, and CO2 yields were generally in good agreement with experimental results for the H+→C and O+→C reactions. For the O+-H+→C reaction, the model agrees quite well with the flux ratio dependence of the H2O yield and the corresponding reductions in the CO, CO2, and CH4 yields.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.222
Teacher spread0.213 · 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 designSimulation or modeling
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

Citations1
Published2003
Admission routes2
Has abstractyes

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