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Record W2018478041 · doi:10.1021/ma050902q

Poly(phthalazinone ether ketone) Ionomers Synthesized via N−C Coupling Reaction for Fuel Cell Applications

2005· article· en· W2018478041 on OpenAlexaff
Yulin Chen, Yuezhong Meng, Xiuhua Li, Allan S. Hay

Bibliographic record

VenueMacromolecules · 2005
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsKetoneEtherFuel cellsPolymer chemistryCoupling reactionIonomerCoupling (piping)ChemistryMaterials scienceOrganic chemistryChemical engineeringCatalysisPolymerCopolymer

Abstract

fetched live from OpenAlex

Sulfonated poly(phthalazinone ether ketone)s with different sulfonation degrees were directly polymerized via N−C coupling reaction. The resulting polymers with inherent viscosity ranging from 0.97 to 1.29 dL/g were characterized by 1 H NMR and elemental analysis. Membranes were obtained by casting 5% solution in DMAc ( N, N ‘-dimethylacetamide) of the polymers at 60 °C. Because of their specially designed structure, the membranes of the polymer have excellent thermal and oxidative stability. TGA curves showed that the loss of sulfonic groups occurred at around 300 °C. The membranes demonstrated excellent acidic stability; their forms could be maintained for at least 47 h when subjected to Fenton's reagent (30 ppm FeSO 4 in 30% H 2 O 2 ) at 25 °C. For the polymer with a sulfonation degree of 2, the highest water uptake of 46% at 80 °C and the best proton conductivity of 1.77 × 10 -2 S/cm at 95 °C 100% relative humidity were obtained, and a low E a of 5.6 kJ/mol was calculated.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.001

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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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

Citations30
Published2005
Admission routes1
Has abstractyes

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