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Record W1807514531 · doi:10.1149/1.2718476

CoS-Promoted MoS[sub 2] Catalysts for SOFC Using H[sub 2]S-Containing Hydrogen or Syngas as Fuel

2007· article· en· W1807514531 on OpenAlexaff
Zhengrong Xu, Jing‐Li Luo, Karl T. Chuang

Bibliographic record

VenueJournal of The Electrochemical Society · 2007
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCatalysisAnodeSyngasSolid oxide fuel cellAdsorptionMaterials scienceHydrogenHydrogen sulfideChemical engineeringOxideInorganic chemistryCurrent densityChemistryElectrodeMetallurgyOrganic chemistrySulfur

Abstract

fetched live from OpenAlex

With only as the anode catalyst, the performance of the solid oxide fuel cell (SOFC) using -containing as fuel increased with temperature. The highest current density was and the highest power density was at . When using pure , the performance was slightly lower. Impedance measurements showed that both ohmic resistance and polar resistance increased in the absence of . The performance of as an anode catalyst was significantly better when compared with alone. At , the maximum current density when using was and the maximum power density was . The performance of all the metal sulfide catalysts was decreased immediately on introduction of CO to the feed gas. The effect was reversible, and performance recovered after removal of CO from the feed stream. This showed that the effect was due to strong adsorption of CO on the catalytic sites, and that the effect could be reversed through continued operation of the SOFC. When the supply of CO was discontinued, oxygen ions transferred from the YSZ membrane reacted with adsorbed CO to regenerate the active sites.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.301
Teacher spread0.281 · 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 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

Citations12
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of The Electrochemical SocietySame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207