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Record W2516323511 · doi:10.1021/acscatal.5b01154

Electrochemical Formation of Reactive Oxygen Species at Pt (111)—A Density Functional Theory Study

2015· article· en· W2516323511 on OpenAlexafffund
Mohammad J. Eslamibidgoli, Michael Eikerling

Bibliographic record

VenueACS Catalysis · 2015
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsSimon Fraser University
FundersGovernment of CanadaBallard Power Systems
KeywordsChemistryMonolayerAdsorptionElectrolyteElectrochemistryOxygenHydrogenCatalysisHydrogen peroxidePhotochemistryInorganic chemistryDensity functional theoryContext (archaeology)ElectrocatalystElectrodeOrganic chemistryPhysical chemistryComputational chemistry

Abstract

fetched live from OpenAlex

Density functional theory was used to investigate the influence of the Pt adsorption state on the formation of hydrogen peroxide (H 2 O 2 ) and hydroxyl radical ( • OH) as two important reactive oxygen species. We generated the free energy diagrams of reduction sequences involving O 2 and H 2 O 2 as reactants and H 2 O 2, • OH, or H 2 O as products. The Pt (111)–water interface was considered in three adsorption states that are encountered in different regions of the electrode potential: an adsorption state with a monolayer of hydrogen (low electrode potential); a clean surface (intermediate potential); and an adsorption state with 1/3 of a monolayer of oxygen (high potential). Results reveal a strong impact of surface water interactions on the pathways of water oxidation and oxygen reduction reactions. In agreement with experimental results reported in the literature, we found that the oxygen reduction pathway is highly sensitive to the hydrogen coverage. Coverage by one monolayer hydrogen renders the surface highly hydrophobic, thereby suppressing its activity for the oxygen reduction. Therefore, for high hydrogen coverage, the formation of H 2 O 2 by a two-electron pathway becomes a preferred path. We discuss results in the context of radical-initiated chemical degradation of polymer electrolyte membranes in polymer electrolyte fuel cells.

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)0.000
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 score0.006
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.216
Teacher spread0.198 · 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

Citations40
Published2015
Admission routes2
Has abstractyes

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