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Record W2335187478 · doi:10.1149/1.3484566

Molecular Design Aspect of Sulfonated Polymers for Direct Methanol Fuel Cells

2010· article· en· W2335187478 on OpenAlex
Dae Sik Kim, Michael D. Guiver, James E. McGrath, Bryan S. Pivovar, Yu Seung Kim

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsNational Research Council Canada
FundersFuel Cell Technologies ProgramU.S. Department of Energy
KeywordsPolymerMethanolDirect methanol fuel cellMethanol fuelMaterials scienceChemical engineeringNanometrePermeability (electromagnetism)Polymer chemistryMembraneNanotechnologyChemistryOrganic chemistryComposite materialPhysical chemistry

Abstract

fetched live from OpenAlex

Molecular structural effects of sulfonated polymers for direct methanol fuel cells (DMFCs) are investigated using a length scale parameter, Percent Conducting Volume (PCV). Sulfonated polymers were categorized based on molecular composition (nanometer length scale) and polymer architecture (sub micrometer length scale) and plotted methanol permeability as a function of PCV and molecular structure. Polymers having functional group showed the least methanol permeability while fluorinated polymers showed the highest methanol permeability at a given PCV. DMFC performance of selected sulfonated polymers is presented in order to support the analysis.

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.

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: none
Teacher disagreement score0.910
Threshold uncertainty score0.548

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)0.0010.000

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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