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Record W2324277790 · doi:10.1149/1.3570127

In-Situ Measurement of SOFC Anode Surface Processes

2011· article· en· W2324277790 on OpenAlexaff
Edward Brightman, Robert C. Maher, Douglas G. Ivey, Gregory J. Offer, Nigel P. Brandon

Bibliographic record

VenueECS Transactions · 2011
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsUniversity of Alberta
FundersEngineering and Physical Sciences Research CouncilRWTH Aachen University
KeywordsAnodeRaman spectroscopyFOIL methodMaterials scienceElectrochemistryIn situNickelElectrodeRedoxDegradation (telecommunications)NanotechnologyChemical engineeringMetallurgyChemistryElectrical engineeringComposite materialEngineeringOpticsPhysics

Abstract

fetched live from OpenAlex

One of the remaining challenges facing state-of-the-art nickel-based SOFC anodes is their susceptibility to degradation induced by redox cycling and chemical poisoning, most notably by carbon and sulphur. An enhanced scientific understanding of chemical interactions on the surface of SOFC electrodes is therefore critical to the development of robust nickel-based anodes. This paper draws together work on advanced electrochemical studies, thin-foil samples, and Raman spectroscopy studies of anode materials, together with results from a new customized SOFC test rig using combined in situ Raman and electrochemical measurements. The in situ test rig opens up a whole range of new research possibilities and these will be discussed.

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)0.000
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 score0.376
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

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 science0.0000.000
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 head0.042
GPT teacher head0.226
Teacher spread0.185 · 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
Published2011
Admission routes1
Has abstractyes

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