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Record W4381512632 · doi:10.1002/ange.202304293

Anodic and Cathodic Platinum Dissolution Processes Involve Different Oxide Species

2023· article· en· W4381512632 on OpenAlexafffund
Timo Fuchs, Valentín Briega‐Martos, Jakub Drnec, Natalie Stubb, Isaac Martens, Federico Calle‐Vallejo, David A. Harrington, Serhiy Cherevko, Olaf M. Magnussen

Bibliographic record

VenueAngewandte Chemie · 2023
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Victoria
FundersBundesministerium für Bildung und ForschungNederlandse Organisatie voor Wetenschappelijk OnderzoekEuropean Synchrotron Radiation FacilityNatural Sciences and Engineering Research Council of CanadaEuropean CommissionDeutsche ForschungsgemeinschaftAgencia Estatal de InvestigaciónMinisterio de Ciencia, Innovación y Universidades
KeywordsDissolutionOxideElectrochemistryNucleationInorganic chemistryPlatinumChemistryAmorphous solidCathodic protectionCatalysisChemical engineeringMaterials scienceElectrodePhysical chemistryCrystallography

Abstract

fetched live from OpenAlex

Abstract The degradation of Pt‐containing oxygen reduction catalysts for fuel cell applications is strongly linked to the electrochemical surface oxidation and reduction of Pt. Here, we study the surface restructuring and Pt dissolution mechanisms during oxidation/reduction for the case of Pt(100) in 0.1 M HClO4 by combining operando high‐energy surface X‐ray diffraction, online mass spectrometry, and density functional theory. Our atomic‐scale structural studies reveal that anodic dissolution, detected during oxidation, and cathodic dissolution, observed during the subsequent reduction, are linked to two different oxide phases. Anodic dissolution occurs predominantly during nucleation and growth of the first, stripe‐like oxide. Cathodic dissolution is linked to a second, amorphous Pt oxide phase that resembles bulk PtO2 and starts to grow when the coverage of the stripe‐like oxide saturates. In addition, we find the amount of surface restructuring after an oxidation/reduction cycle to be potential‐independent after the stripe‐like oxide has reached its saturation coverage.

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 score0.003

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 science0.0000.000
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 head0.020
GPT teacher head0.228
Teacher spread0.208 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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