MétaCan
Menu
Back to cohort
Record W2329519828 · doi:10.1149/1.3570016

Improved Redox and Thermal Cycling Resistant Tubular Ceramic Fuel Cells

2011· article· en· W2329519828 on OpenAlexafffund
Amir Reza Hanifi, Alireza Torabi, Mark Zazulak, Thomas H. Etsell, Luis Yamarte, Partha Sarkar, Michael C. Tucker

Bibliographic record

VenueECS Transactions · 2011
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsAlberta InnovatesUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaU.S. Department of Energy
KeywordsAnodeTemperature cyclingElectrolyteRedoxMaterials scienceMicrostructureInfiltration (HVAC)CeramicPorosityCyclingComposite materialChemical engineeringThermalElectrodeMetallurgyChemistry

Abstract

fetched live from OpenAlex

A new generation of tubular SOFCs with an approach to solve the thermal and redox cycling issues of these fuel cells is introduced and the method of fabrication is explained. The cell consists of a porous support coated with a thin electrolyte. Following porous support infiltration of Ni-SDC to create the anode, 100 thermal and 10 redox cycling tests were carried out. The cell shows extremely high failure resistance to the thermal and redox cycling as confirmed by unaltered OCV values. SEM analysis shows a crack free anode microstructure and electrolyte.

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 score0.005

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.173
Teacher spread0.165 · 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

Citations17
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueECS TransactionsSame topicFuel Cells and Related MaterialsFrench-language works237,207