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Record W4388850566 · doi:10.1002/cctc.202301304

Assessing Electrocatalyst‐Ionomer Interactions: HOR/HER Activity of Pt/C Catalyst Layers incorporating Poly(imidazolium)s

2023· article· en· W4388850566 on OpenAlexafffund
Kate Fraser, Kirill A. Dosaev, Elena R. Savinova, Steven Holdcroft, Tristan Asset

Bibliographic record

VenueChemCatChem · 2023
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaMitacsUniversité de Strasbourg
KeywordsElectrocatalystIonomerCatalysisElectrochemistryChemistryAdsorptionCationic polymerizationLimiting currentChemical engineeringRotating ring-disk electrodeInorganic chemistryPolymer chemistryOrganic chemistryPhysical chemistryPolymerElectrodeCopolymer

Abstract

fetched live from OpenAlex

Abstract In this work, a specifically designed C2‐protected poly(imidazolium) with a limited number of freely rotating phenyl groups was synthesized and studied as a binder for a commercial Pt/C electrocatalyst. The ionomer‐electrocatalyst interactions were extensively investigated in terms of kinetic and limiting current for the hydrogen oxidation reaction (HOR) and hydrogen evolution reaction (HER). A non‐monotonic evolution of the electrochemically active surface area (ECSA) was observed with the increase of the ionomer‐to‐carbon ratio. The addition of ionomer to the catalyst layer leads to an increase in stability and activity of the electrocatalyst during HOR, while substantially increasing the ionomer content leads to only a marginal decrease in ECSA. Potential phenyl adsorption and cation‐hydroxide ion‐water interactions which impart deleterious impact on electrochemical activity are minimized owing to the sterically encumbered design of the polyimidazolium which (i) limits direct molecular interaction of the imidazolium cationic ring with Pt and (ii) encumbers phenyl and imidazolium ring rotation to hinder parallel aromatic ring adsorption onto the electrocatalyst surface, hence mitigating strong adsorption/blocking interactions.

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 score0.014
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.259
Teacher spread0.239 · 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
Published2023
Admission routes2
Has abstractyes

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