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Record W2044674255 · doi:10.1149/1.3643330

A Comparative Study of the Performance of Ultra-Porous Membranes as Separators in Supercapacitor Devices

2011· article· en· W2044674255 on OpenAlex

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 · 2011
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSupercapacitorSeparator (oil production)Materials sciencePorosityMembraneElectrospinningMicrofiberCapacitanceComposite materialChemical engineeringPolymerElectrodeEngineeringChemistry

Abstract

fetched live from OpenAlex

Commercial porous membranes as well as in-house fabricated ultraporous nonwoven membranes were tested as separators in aqueous carbon-based supercapacitors. The separators were obtained by electrospinning and melt-blowing of nonwoven nano and microfibers. A pressure-controlled laboratory cell was designed and fabricated in order to precisely compare the supercapacitor performance and discriminate the separator influence. The electrochemical results showed that the separator does not influence the capacitance of the cell but has a significant impact on its internal resistance. It was demonstrated that increasing the porosity of the separator led to a decreased cell resistance and then to a higher energy available at high power demand.

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: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.708

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 head0.037
GPT teacher head0.261
Teacher spread0.224 · 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