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Record W1978581517 · doi:10.1021/jp808049p

The Oxidation of H<sub>2</sub> and CH<sub>4</sub> on an Oxygen-Enriched Yttria-Stabilized Zirconia Surface: A Theoretical Study Based on Density Functional Theory

2008· article· en· W1978581517 on OpenAlexafffund
Maxim Shishkin, Tom Ziegler

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2008
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsYttria-stabilized zirconiaOxideMaterials scienceDensity functional theoryCathodeElectrolyteInorganic chemistryMethaneSolid oxide fuel cellAdsorptionCubic zirconiaHydrogenChemical engineeringChemistryPhysical chemistryComputational chemistryComposite materialOrganic chemistryMetallurgyElectrodeCeramic

Abstract

fetched live from OpenAlex

The mechanism of fuel (molecular hydrogen and methane) adsorption and oxidation on an yttria-stabilized zirconia (YSZ) surface, used as part of the anode in solid oxide fuel cells (SOFC), is investigated employing ab initio periodic calculations based on density functional theory. Our results indicate that exothermic adsorption and decomposition of the fuel is possible if the vacant sites of YSZ are filled by externally supplied oxygen atoms from the SOFC cathode or other sources. In agreement with experimental observations, we find that formaldehyde is an intermediate gas phase species, whereas formate is a stable intermediate surface species in the process of methane decomposition and oxidation on YSZ. These findings underline that direct oxidation of fuel on the electrolyte surface is possible without the need for a metallic catalyst if the vacant sites on YSZ can be filled by oxygen atoms from the SOFC cathode at a sufficiently high rate. Our results are in line with recent experimental findings in which CH 4 and H 2 were oxidized by an oxygen-enriched YSZ surface.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations69
Published2008
Admission routes2
Has abstractyes

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Same venueThe Journal of Physical Chemistry CSame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207