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Record W4224229131 · doi:10.1149/1945-7111/ac697f

Fabrication of High Performing and Durable Nickel-Based Catalyst Coated Diaphragms for Alkaline Water Electrolyzers

2022· article· en· W4224229131 on OpenAlexaff
Cinar Karacan, Felix Lohmann‐Richters, Meital Shviro, Gareth P. Keeley, Martin Müller, Marcelo Carmo, Detlef Stolten

Bibliographic record

VenueJournal of The Electrochemical Society · 2022
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsQueen's University
FundersBundesministerium für Bildung und Forschung
KeywordsCatalysisElectrolysisElectrolyteElectrodeNickelDiaphragm (acoustics)Materials scienceAlkaline water electrolysisRaney nickelElectrolytic cellChemical engineeringElectrolysis of waterChemistryMetallurgyElectrical engineering

Abstract

fetched live from OpenAlex

In this work, a catalyst coated-diaphragm (CCD) for classical alkaline electrolysis was prepared by the blade-coating method, using Raney nickel as HER catalyst and a Zirfon® (AGFA Perl UTP 500) diaphragm. Our best CCD reduced the overvoltage in an alkaline single cell by 270 mV at 300 mA cm−2 compared to the benchmark, mainly due to the higher catalytic activity and surface area of the Raney nickel electrode. The new electrode system also showed a low degradation rate of 22 μA cm−2 h−1 after 1000 h at a cell voltage of 2 V. The gas purity tests showed that the CCD has hydrogen in oxygen contamination well below the lower explosion limit, even at low current densities. Therefore, we propose the use of our novel CCD architecture for atmospheric alkaline electrolyzers, which have a partly separated electrolyte cycle.

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 science0.0010.000
Research integrity0.0010.000
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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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

Citations32
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of The Electrochemical SocietySame topicElectrocatalysts for Energy ConversionFrench-language works237,207