MétaCan
Menu
Back to cohort
Record W2015018686 · doi:10.1021/ma802456m

Membranes from Poly(aryl ether)-Based Ionomers Containing Randomly Distributed Nanoclusters of 6 or 12 Sulfonic Acid Groups

2009· article· en· W2015018686 on OpenAlexaff
Shuanghong Tian, Yuezhong Meng, Allan S. Hay

Bibliographic record

VenueMacromolecules · 2009
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsNafionSulfonic acidIonomerPolymerPolymer chemistryEtherCopolymerTransmission electron microscopyMaterials scienceNanoclustersConductivityMembraneArylChemical engineeringChemistryPhysical chemistryOrganic chemistryNanotechnologyComposite materialElectrochemistry

Abstract

fetched live from OpenAlex

We report on the dependence of the properties on the morphologies of sulfonated polymers 3a and 3b (η inh = 0.65−1.18) with segments containing clusters of 6 and 12 sulfonic acid groups, respectively. The larger sulfonated clusters in polymers 3b resulted in higher proton conductivity and much better cell performance than polymers 3a . The highest power density of a fuel cell using 3a-1 (IEC = 1.16 mequiv/g) and Nafion 117 was 0.23 and 0.21 W/cm 2, respectively, at the effective work potential of 0.5 V, whereas that of 3b-1 (IEC = 1.16 mequiv/g) was 0.29 W/cm 2 at even higher effective work potential of 0.6 V. The morphological structure of 3a-1 and 3b-1 was investigated by transmission electron microscopy (TEM) and compared with that of Nafion. TEM images of 3a-1 and 3b-1 revealed a phase separation similar to that of Nafion, which may explain their higher proton conductivities compared to those of randomly sulfonated copolymers.

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)0.000
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 score0.012
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.200
Teacher spread0.191 · 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

Citations116
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueMacromoleculesSame topicFuel Cells and Related MaterialsFrench-language works237,207