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Record W2095164550 · doi:10.1149/1.1482767

New Materials and Procedures to Protect Metallic PEM Fuel Cell Bipolar Plates

2002· article· en· W2095164550 on OpenAlexafffund
Nicolas Cunningham, Daniel Guay, Jean‐Pol Dodelet, Yang Meng, A. R. Hlil, A. S. Hay

Bibliographic record

VenueJournal of The Electrochemical Society · 2002
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsMcGill UniversityInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of CanadaInstitut national de la recherche scientifique
KeywordsPyrolysisMaterials scienceProton exchange membrane fuel cellElectrolyteLayer (electronics)CoatingPolymerInertCorrosionGraphiteChemical engineeringCarbon fibersComposite materialElectrochemistryMetalElectrical resistivity and conductivityFuel cellsMetallurgyChemistryElectrodeComposite numberOrganic chemistryElectrical engineering

Abstract

fetched live from OpenAlex

High carbon content polymers have been synthesized and pyrolyzed between 600 and 850°C in inert ambient, during various pyrolysis times, to obtain freestanding carbon films with specific resistivities that can be as low as ∼ 0.01 Ω cm. One of these polymers (M2-48), with a low specific resistivity at low pyrolysis temperature and pyrolysis time, can be easily sprayed on stainless steel 316L, a possible material to be used for bipolar plates in polymer electrolyte membrane (PEM) fuel cells. The layer of M2-48 on SS316L is used as a first layer of a three-layer coating, which is able, after its pyrolysis at 750°C, to protect the stainless steel against corrosion in fuel cell tests. The second and third layers of the 70-100 μm thick protective coating are made of a commercial graphite spray and a top layer of M2-48, respectively. © 2002 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 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)0.001
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: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.176
Teacher spread0.171 · 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

Citations57
Published2002
Admission routes2
Has abstractyes

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Same venueJournal of The Electrochemical SocietySame topicFuel Cells and Related MaterialsFrench-language works237,207