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Record W2012553108 · doi:10.1149/1.1394018

Electro-oxidation of Dimethyl Ether in a Polymer-Electrolyte-Membrane Fuel Cell

2000· article· en· W2012553108 on OpenAlexaff
J. Müller, Peter M. Urban, Wolfgang F. Hölderich, Kevin Michael Colbow, Jiujun Zhang, David P. Wilkinson

Bibliographic record

VenueJournal of The Electrochemical Society · 2000
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsBallard Power Systems (Canada)
Fundersnot available
KeywordsDimethyl etherAnodeOverpotentialDirect-ethanol fuel cellElectrolyteProton exchange membrane fuel cellCathodeElectrochemistryPolymerChemical engineeringCyclic voltammetryChemistryMembraneMembrane electrode assemblyDirect methanol fuel cellAdsorptionMethanolMaterials scienceInorganic chemistryCatalysisElectrodeOrganic chemistry

Abstract

fetched live from OpenAlex

The possibility of using dimethyl ether (DME) as a fuel in direct oxidation polymer‐electrolyte‐membrane (PEM) fuel cells is investigated. A mechanism for DME electro‐oxidation is proposed based on the results of half‐cell experiments using cyclic voltammetry combined with gas‐chromatographic (GC) analyses of a single direct DME fuel cell. It is shown that, as a consequence of this mechanism, there is an additional overpotential at the anode of a direct DME fuel cell which is related to the initial adsorption step on the catalyst surface. DME is typically not oxidized at the cathode of a PEM fuel cell. This minimizes unwanted effects of fuel crossover, leading to improved fuel‐cell efficiencies compared to direct methanol fuel cells, especially at low‐to‐medium current densities. © 2000 The Electrochemical Society. All rights reserved.

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 score0.007
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.200
Teacher spread0.197 · 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

Citations103
Published2000
Admission routes1
Has abstractyes

Explore more

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