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Record W3038139556 · doi:10.1021/acscatal.0c01594

Imaging Reactivity of the Pt–Ionomer Interface in Fuel-Cell Catalyst Layers

2020· article· en· W3038139556 on OpenAlexafffund
Isaac Martens, Lis G. A. Melo, Marcia West, David P. Wilkinson, Dan Bizzotto, Adam P. Hitchcock

Bibliographic record

VenueACS Catalysis · 2020
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsMcMaster UniversityUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIonomerCatalysisHydrogen peroxideReactivity (psychology)Materials scienceElectrochemistryElectrolyteChemical engineeringThin filmScanning electrochemical microscopyPolymerChemistryNanotechnologyComposite materialElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

The interface between perfluorosulfonic acid polymer electrolytes and Pt nanoparticles in a model hydrogen fuel-cell catalyst layer was analyzed using high-resolution scanning transmission X-ray microscopy. After electrochemical cycling, thin films of damaged ionomer, enriched in C═C bonds, are observed near the Pt surface. This local degradation of the Pt–ionomer interface triggered by electrochemical oxidation contrasts with that from peroxide radical exposure. Peroxide damage is catalyzed by Pt and leads instead to thin films containing carboxylic acids. Direct mapping of the degradation at these nanoscale interfaces inside hydrogen fuel-cell catalyst layers exposes a previously unknown electrochemical reactivity of perfluorinated ionomers.

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 score0.062
Threshold uncertainty score0.385

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)0.0000.000

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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

Citations29
Published2020
Admission routes2
Has abstractyes

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