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Record W1974002918 · doi:10.1149/05701.1507ecst

Doped Samarium Ferrite Perovskites as Carbon and Sulfur Resistant Anodes for Low Temperature Solid Oxide Fuel Cells

2013· article· en· W1974002918 on OpenAlexafffund
Syed M. Bukhari, William D. Penwell, Javier B. Giorgi

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceAnodeOxidePerovskite (structure)SamariumAtmospheric temperature rangeSolid oxide fuel cellDopingFuel cellsSulfurMethaneChemical engineeringInorganic chemistryMetallurgyElectrodeChemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Perovskite type oxides (ABO3) have opened a new door to solve operational issues of SOFC anodes. One of the great advantages of these materials is that their properties can be easily tailored according to the desired applications, by introducing substitutions at A and B- sites. Doping Ce, Co and Ni in SmFeO3 solves not only the reduction instability issue of these perovskites, but also makes these materials suitable as anodes. The resistance to coke formation is shown for three prime candidates of this perovskite family (Sm0.95Ce0.05FeO3-δ, Sm0.95Ce0.05Fe0.97Co0.03O3-δ, and Sm0.95Ce0.05Fe0.97Ni0.03O3-δ). These anodes show stable performance in pure methane fuel in the temperature range of 450 to 650°C. In addition, performance of these anodes in the presence of 5% H2S is higher than for pure H2.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.001

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 head0.245
Teacher spread0.236 · 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

Citations7
Published2013
Admission routes2
Has abstractyes

Explore more

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