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Record W2485412684 · doi:10.1149/200307.0653pv

Effect of Anode Porosity and Pore Size on Electrochemical Performance

2003· article· en· W2485412684 on OpenAlexaff
Xiaohua Deng

Bibliographic record

VenueECS Proceedings Volumes · 2003
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPorosityAnodeMaterials scienceSolid oxide fuel cellGrain sizeElectrochemistryCell sizeYttria-stabilized zirconiaComposite materialTriple phase boundaryOxideChemical engineeringMetallurgyElectrodeCubic zirconiaCeramicChemistry

Abstract

fetched live from OpenAlex

Solid oxide fuel cells consisting of LSCF, YSZ and Ni-YSZ were fabricated with anodes of controlled porosity and pore size. The effects of porosity and pore size on cell performance were investigated theoretically and experimentally. A geometric simulation was used to determine the three-phase-boundary length (TPBL) which is one of main factors determining the anodic reaction and consequently the cell performance. The TPBL calculation indicated there exists an optimum porosity and pore size in the anode, depending on grain size. A porosity of 35–40% was found to be optimum for fuel cell performance in our cells. Based on the anodes tested with pore size from 1 to 10 µm, it was found that cell performance improved with increasing pore size.

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)0.001
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 score0.019
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.004
GPT teacher head0.231
Teacher spread0.227 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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