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Record W4409217375 · doi:10.1021/acsaem.5c00425

Designing Electrodes with No Ionomers: A Perspective on Ionomer-Free Electrodes for Proton-Exchange-Membrane Water Electrolyzers

2025· article· en· W4409217375 on OpenAlexafffund
Abdullah Tayyem, Jason Keonhag Lee

Bibliographic record

VenueACS Applied Energy Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Victoria
FundersNational Research Foundation of KoreaCanada Research Chairs
KeywordsIonomerElectrodeMembraneProton exchange membrane fuel cellMaterials scienceProtonPerspective (graphical)ChemistryComposite materialPhysicsComputer sciencePolymerPhysical chemistryCopolymer

Abstract

fetched live from OpenAlex

Proton-exchange-membrane water electrolyzer (PEMWE) is a promising technology for producing clean hydrogen as it offers high current operation, compact design, and ability to operate with intermittent renewable energy. However, high costs related to platinum group metal (PGM) usage and titanium components pose a bottleneck in further scale-up of PEMWEs. This perspective introduces an ionomer-free PEMWE system as a viable approach to facilitate scale-up and cost reduction of PEMWEs. In conventional PEMWEs, ionomers serve as binders for the electrodes as well as a medium to conduct protons. However, most ionomers used in PEMWEs rely on perfluoroalkyl and polyfluoroalkyl substances, which complicate the manufacturing processes of the catalyst layers and cause a potential concern to the environment. Shifting to ionomer-free electrodes alleviates these challenges and simplifies scale-up processes; however, the application of ionomer-free electrodes remains at an early stage of research, and this perspective provides a guidance on the future direction based on previous research endeavors conducted in the field.

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 categoriesMeta-epidemiology (narrow)
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 score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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 head0.003
GPT teacher head0.188
Teacher spread0.184 · 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.

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

Citations2
Published2025
Admission routes2
Has abstractyes

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