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Record W2255767734 · doi:10.1149/ma2015-02/8/541

Proton-Conducting Polymer Electrolytes for Solid Flexible Supercapacitors

2015· article· en· W2255767734 on OpenAlexaff
Han Gao, Keryn Lian

Bibliographic record

VenueECS Meeting Abstracts · 2015
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsElectrolyteSupercapacitorIonic conductivityMaterials sciencePolymerSeparator (oil production)ConductivityChemical engineeringElectrochemistryNafionProton conductorElectrodeChemistryComposite material

Abstract

fetched live from OpenAlex

Polymer electrolytes, acting as separator and ionic conductor, are key enablers for the next generation flexible supercapacitors. An ideal high-performance polymer electrolyte should exhibit: (i) high ionic conductivity; (ii) good ion accessibility at the electrode\electrolyte interface; (iii) wide electrochemical stability window; and (iv) high environmental and temperature stability. Although the conductivity of polymer electrolytes is typically a few orders of magnitude lower than that of their liquid counterparts, deploying them in the form of thin film can mitigate this issue and provide high rate and power performance in a supercapacitor device. A typical solid polymer electrolyte consists of an ionic conductor, a polymer matrix, and additives. Heteropolyacids (HPAs) are excellent solid-state proton conductors at room temperature [1]. One of the common HPAs is silicotungstic acid (SiWA, H4SiW12O40•nH2O). We have developed a polymer-in-salt electrolyte system for supercapacitors using SiWA and polyvinyl alcohol (PVA). A systematic approach has been used to improve the performance of SiWA-PVA polymer electrolytes through additives and polymer structural modifications. The electrolytes showed excellent proton conductivity, stability, and film flexibility that enables thin and light weight solid supercapacitors (Fig. 1). They also outperformed Nafion® in terms of environmental stability at ambient conditions [2]. These SiWA-based polymer electrolytes have demonstrated high rate performance in both electrochemical double layer capacitors and pseudo-capacitors [3-5]. The solid polymer electrolyte-based devices were able to charge and discharge up to 100 Vs-1, with a time constant of 10 ms [3-5]. To further expand the potential window of the SiWA-based electrolyte, and thus increase the energy density, alternative HPAs have been synthesized. In this talk, proton conductivity and structural properties of the developed polymer electrolytes will be discussed. Device performance of different HPA-based solid supercapacitors will be presented and compared. References: U. B. Mioè et al., Solid State Ionics, 176, 3005-3017 (2005). H. Gao et al., Electrochem. Commun., 17, 48-51 (2012). H. Gao and K. Lian, J. Mater. Chem., 22, 21272-21278 (2012). H. Gao and K. Lian, J. Power Sources, 196, 8855-8857 (2011). H. Gao et al., J. Power Sources, 222, 301-304 (2013). Fig. 1. Photographs of (a) a HPA-based polymer electrolyte film and (b) an assembled flexible solid supercapacitor. Figure 1

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.068
GPT teacher head0.297
Teacher spread0.230 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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