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Record W2496198540 · doi:10.1149/200507.1275pv

Deactivation and Recovery of Ni-YSZ Anode in H2 Fuel Containing H2S

2005· article· en· W2496198540 on OpenAlexaff
Shen Xia

Bibliographic record

VenueECS Proceedings Volumes · 2005
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAnodeElectrolyteSolid oxide fuel cellMaterials sciencePolarization (electrochemistry)Yttria-stabilized zirconiaOpen-circuit voltageOxideChemical engineeringSulfurDegradation (telecommunications)ElectrodeComposite materialChemistryMetallurgyVoltageElectrical engineering

Abstract

fetched live from OpenAlex

The degradation of Ni-YSZ composite anodes in a single solid oxide fuel cell (SOFC) running on humidified H 2 containing 10 ppm H 2 S, at 800°C, has been investigated, both at the open circuit potential (OCP) and under load. With exposure to H 2 S at the OCP, the series resistance (electrolyte plus interfacial contacts) and especially the polarization resistance increase with time. Anode degradation is enhanced when exposure occurs under a load, and the higher the current density, the more rapid the loss of performance, without reaching a steady-state. Partial or full recovery of the H 2 S-poisoned Ni-YSZ anode, determined by the extent of lowering of the series and polarization resistance, was achieved by exposure to pure H 2 , N 2 or air at the OCP. Greater than 90% recovery was obtained in N 2 or air, while only ~75 % recovery could be achieved in H 2 . Overall, the results indicate that the reversible component of H 2 S poisoning is caused by the blocking of the active Ni-YSZ sites by adsorbed sulfur or H 2 S, while the small, irreversible component may be due to the formation of a Ni-S compound in some areas within the anode structure.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.250
Teacher spread0.238 · 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 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

Citations13
Published2005
Admission routes1
Has abstractyes

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Same venueECS Proceedings VolumesSame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207