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Record W2060172494 · doi:10.1149/05331.0027ecst

A Low Temperature Inorganic Molten Salt Supercapacitor

2013· article· en· W2060172494 on OpenAlexafffund
Donald W. Kirk, J. W. Graydon

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrolyteSupercapacitorMaterials scienceIonic conductivityMolten saltAqueous solutionSalt (chemistry)ConductivityActivated carbonChemical engineeringInorganic chemistryIonic liquidIonic bondingIonElectrochemistryElectrodeChemistryOrganic chemistryAdsorptionCatalysis

Abstract

fetched live from OpenAlex

Porous activated carbon is an important electrode material for devices such as supercapacitors, batteries and fuel cells. Despite the research and commercialization work that has been carried out, there is still a need to understand some of the fundamental characteristics of the role of activated carbon and the electrolyte in charge storage and ion migration within these structures. There has been two general types of electrolytes used; aqueous electrolytes with high concentrations of conductive salts and organic electrolytes modified to be conductive or directly conductive as in the form of ionic liquids. The former have high ionic conductance, the latter have a larger voltage range for stability. In this work we introduce an alternative to theses electrolytes, a low temperature molten inorganic salt. Potential advantages include high conductivity and a large potential operating range. The work demonstrates that inorganic salts can be used as electrolytes in supercapacitors at temperatures as low as 120 o C . The charge discharge characteristics were similar to aqueous electrolyte performance and higher charging voltages than the aqueous limits are possible. The work also showed that the activated carbon pore sizes that can be used for charge discharge are similar for the molten salt ions and the aqueous ions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.014
Threshold uncertainty score0.997

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.004

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2013
Admission routes2
Has abstractyes

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