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Record W3118244289 · doi:10.1016/j.xcrp.2020.100297

Bottom-Up Fabrication of Oxygen Reduction Electrodes with Atomic Layer Deposition for High-Power-Density PEMFCs

2021· article· en· W3118244289 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCell Reports Physical Science · 2021
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsMcMaster University
FundersVolkswagen of AmericaNational Science Foundation
KeywordsProton exchange membrane fuel cellIonomerCathodeMaterials scienceFabricationDispersion (optics)ElectrodePlatinumAtomic layer depositionCatalysisMembrane electrode assemblyLayer (electronics)Mesoporous materialChemical engineeringDeposition (geology)Power densityNanotechnologyComposite materialElectrolyteChemistryPower (physics)Organic chemistry

Abstract

fetched live from OpenAlex

As the platinum (Pt) loading in proton exchange membrane fuel cell cathodes is driven down to reduce costs, catalyst utilization becomes increasingly important. Here, we report an atomic layer deposition-facilitated electrode fabrication technique designed to improve the catalyst-ionomer interface. The ionomer solvent environment and carbon support nanoporosity are studied independently, and it is found that the combination of an agglomerated ionomer dispersion and a mesoporous support gives access to a high catalytic activity (mass activity [MA] = 0.31 A/mgPt with pure Pt) that can be maintained at high current densities. We hypothesize that the formulation results in Pt sufficiently withdrawn from the ionomer such that poisoning and transport losses are reduced. When paired with a low-resistance dispersion-cast membrane, a 0.1-mgPt/cm2 cathode can deliver a 0.65-V power density of 1.0 W/cm2 at 150 kPa and 80°C. The assembly also demonstrates impressive durability, losing only 33 mV after 30,000 cycles.

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.

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 score0.006
Threshold uncertainty score0.562

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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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