MétaCan
Menu
Back to cohort
Record W2069939415 · doi:10.1021/jp066690w

Performance of Ethane/Oxygen Fuel Cells Using Yttrium-Doped Barium Cerate as Electrolyte at Intermediate Temperatures

2007· article· en· W2069939415 on OpenAlexaff
Shouyan Wang, Jing‐Li Luo, Alan R. Sanger, Karl T. Chuang

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2007
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsElectrolyteMaterials scienceAnodeHydrogenCathodeInorganic chemistryBariumChemical engineeringAnalytical Chemistry (journal)ElectrodeChemistryOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

Fuel cells having proton conducting membranes comprising doped barium cerate ceramic BaCe 0.85 Y 0.15 O 3- α (BCY15) as electrolyte and platinum as both anode and cathode electrodes performed well for conversion of ethane to ethylene at 650 and 700 °C. No deterioration in performance occurred during 20 days of operation at 700 °C. The electrolyte was stable, and the membrane remained a single perovskite phase after long-term testing. Current density at maximum power density increased with temperature from 650 to 700 °C at ethane flow rates of 100−200 mL/min. A better seal and consequently a better performance were obtained when the sealant was under compression, achieved by operating the cell in vertical attitude. Power density of 120 mW/cm 2 was attained at current densities in the range 300−650 mA/cm 2 at 700 °C and ethane flow rate 100 mL/min. There was good agreement between current and change in gaseous composition across the anode. The protonic current arose in two ways: by conversion of hydrogen arising from dehydrogenation of ethane, and by electrochemical conversion of ethane. At 650 °C the former is the major reaction path, while at 700 °C the latter is the major path.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.010
GPT teacher head0.269
Teacher spread0.259 · 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

Citations37
Published2007
Admission routes1
Has abstractyes

Explore more

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